Podcasts about histograms

This is a link post. I would like to thank David Thorstadt for looking over this. If you spot a factual error in this article please message me. The code used to generate the graphs in the article is available to view here. Introduction Say you are an organiser, tasked with achieving the best result on some metric, such as “trash picked up”, “GDP per capita”, or “lives saved by an effective charity”. There are several possible options of interventions you can take to try and achieve this. How do you choose between them? The obvious thing to do is look at each intervention in turn and make your best, unbiased estimate of how each intervention will perform on your metric, and pick the one that performs the best:Image taken from here Having done this ranking, you declare the top ranking program to be the best intervention and invest in it, expecting that that your top estimate will be the result that you get. This whole procedure is totally normal, and people all around the world, including people in the effective altruist community, do it all the time. In actuality, this procedure is not correct. The optimisers curse is [...] ---Outline:(00:26) Introduction(02:17) The optimisers curse explained simply(04:42) Introducing a toy model(08:45) Introducing speculative interventions(12:15) A simple bayesian correction(18:47) Obstacles to simple optimizer curse solutions.(22:08) How Givewell has reacted to the optimiser curse(25:18) Conclusion --- First published: February 11th, 2026 Source: https://forum.effectivealtruism.org/posts/q2TfTirvspCTH2vbZ/the-best-cause-will-disappoint-you-an-intro-to-the Linkpost URL:https://open.substack.com/pub/titotal/p/the-best-cause-will-disappoint-you?r=1e0is3&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

23.05.2025 | Dijital Hayat Bölüm535 - TRT Radyo1 | "Bilgiyi Aktarma Sanatı: Veri Görselleştirme" Bilal Eren'in hazırlayıp, sunduğu Dijital Hayat programımızda bu hafta; Sakarya Üniversitesi Öğretim Üyesi Prof. Dr. Mustafa Bostancı ile; - Veri Görselleştirme Nedir, Nasıl Tanımlanabilir? - Veri Görselleştirme, Bilgiyi Aktarma Sanatı Olarak Tanımlanabilir mi? - Veri Çağında; Bilgiyi/Veriyi Anlaşılır Hale Getirmek Neden Önemli? - Göz/Görsellik Çağında, Metin Yerine Görsel Bilgi Neden Daha Kalıcı? - İletişim Bilimi Açısından, Bir Resim Bin Kelimeye Bedel mi? - Veri Görselleştirme Yöntem ve Methodları Neler? - Habercilik/Gazetecilik Açısından, Veri Gazeteciliği Daha mı Başarılı? - Tablolaştırma, İnfografik, Histogram, Haritalaştırma gibi Hangi Yöntemler Mevcut? - Hangi Veri Görselleştirme Araç ve Uygulamaları Mevcut? - Yapay Zeka Temelli Veri Görselleştirme Uygulamaları Neler? Başlıklarını konuştuk. Dijital Hayat, her cuma saat 15:30​​​​​​​​​​​​​'da TRT Radyo1 mikrofonlarında canlı yayında... Tüm geçmiş ve gelecek yayınlarımız için; Web: https://www.dijitalhayat.tv

The patterns in your data can hold the key to better business decisions. Histograms go beyond simple bar charts, offering a clear view of data distribution to uncover trends, probabilities, and hidden opportunities in your processes. Join PMI Director Consultant, Warren Knight, as he shares real-world examples and actionable tips to help you use histograms to uncover issues, enhance performance and deliver greater value to your customers. Tune in and discover the insights you've missed. More resources:Podcast: SPC Charts: Driving Sustainable Performance GainsOn Demand Webinar: Data Collection TechniquesBlog: Future-Proof Your OrganisationMore from PMI: Dive into our Knowledge Hub for more tools, videos, and infographics Join us for a PMI LIVE Webinar Follow us on LinkedIn Take your improvement career to the next level with PMI's Lean Six Sigma Certifications - now available in two new and accessible formats, built around you. Explore On Demand >> Explore Distance Learning >>

Guests: Dr. Alex Bach, ICREA (Catalan Institution for Research and Advanced Studies), and Dr. Bill Weiss, The Ohio State UniversityIn this journal club episode, Dr. Alex  Bach with the Catalan Institution for Research and Advanced Studies joins Dr. Bill Weiss from the Ohio State University. Dr. Weiss introduces the paper as one that's immediately applicable to the industry and answers a question he received a lot during his Extension career: What's the cost of moving cows? This research gives us some real data to help producers on cow management. (3:49)Dr. Bach states that grouping cows is necessary, and the goal is to feed cows as close to their requirements as possible. But in a practical world, that can be difficult, and producers may resist moving cows due to the increased work and perceived drop in milk production. Dr. Bach gathered data from the field to see if that's the case or not by evaluating three farms with different diets and evaluating income over feed cost. (4:33)Dr. Bach goes on to describe the farms and the methods his team used for estimating individual cow intakes in a group pen setting. Cow pen/group changes coincided with a diet change. Individual farms made their own ration decisions and pen movement decisions. (8:17)In general, cows moved from a high to a medium to a low diet over the course of lactation. Primiparous cows moved from the fresh pen to the medium diet. If diet differences were adequate between groups, the loss in milk was compensated by the lower cost ration, and producers made an additional 20-30 cents per cow per day in income over feed costs. However, if the diets were more similar, lower feed costs did not compensate for the loss in milk production. (15:30)  Dr. Weiss asks Dr. Bach if he could only build two rations, a high and a low, how would he do that? Dr. Bach's approach is to look at a histogram of milk production in the pen and split that into quantiles. His goal is to make a ration that satisfies at least 70% of the animals in the pen for the high diet and around 60% of the animals in the pen for the low diet. (24:36)Dr. Bach also ran a sensitivity analysis evaluating how results would change if milk prices or feed costs (or both) went up or down. He found that the higher the milk price, the more resilient a farm will be to a single diet and that feed cost is the opposite. The most interesting scenario is high feed costs and low milk prices - that's where it's almost mandatory to make groups, if you want to survive on a dairy. (27:23)Dr. Bach evaluated the change in nutrient intake for the diet switch and projected the milk production change from that nutrient change compared to how the cows actually performed. The cows always lost less milk production than predicted. Dr. Bach thinks the main reason is that the cows were overfed before moving. (37:46)Dr. Bach invites the audience to experiment a little bit with grouping cows. Don't be afraid of losing milk, and look beyond milk. Put in place mechanisms on the farm that allow you to measure income over feed costs as the ultimate goal. Cows are flexible, so don't be afraid of making a mistake. If something goes wrong, it will go wrong for a short period of time. You can correct it. You can change the diet right away, and the cows will recover. (46:14)You can find this episode's journal club paper here: https://doi.org/10.3168/jds.2022-22875Author: Dr. Alex BachPlease subscribe and share with your industry friends to bring more people to join us around the Real Science Exchange virtual pub table.  If you want one of our new Real Science Exchange t-shirts, screenshot your rating, review, or subscription, and email a picture to anh.marketing@balchem.com. Include your size and mailing address, and we'll get a shirt in the mail to you.

Better Fuji Photos Episode 36: Using the Histogram for Perfect Exposures Traditional "metering" is still available in today's digital cameras. But why not use an easier, better tool to get more accurate exposures? That's the histogram! This graph, which you can enable in different ways in your camera (outlined in the podcast & article), is easiest to use when broken up into three "zones": the left third representing the shadows, the mid third representing the midtones, and the right third representing the highlights. Then, you simply adjust your exposure to "place" things where they belong in the histogram, depending on how much light they should reflect - or how bright you want them to be! See this breakdown, along with a walkthrough, in the accompanying web article: https://www.jmpeltier.com/using-mirrorless-histogram/ Please subscribe, rate, and review wherever you prefer to listen to your podcasts so we can keep this show going. If you ever have any questions that you'd like to have answered in an episode, please send me an email at mail@jmpeltier.com. End music: Dylan Sitts - Tahoe Trip

Histogram. Doesn't sound like a photography thing. Sounds complicated. What is it, Rick? Do I need to know about this?Yes, you do need to know about this. A histogram can help you get the best exposure you can and tell if you have not got the best exposure.In this episode, I tell you.What a histogram is.How you can use a histogram to get the best exposure.How you can use a histogram to tell you if you got the exposure correct.What if I use a phone to take photos and not a camera?What if I use a film camera?And finally, what I do.All explained in plain English, without the irrelevant detail, in less than 27 (ish) minutes!What is not to love?Support the showGet your question answeredThis is what my podcast is all about, answering your photography questions - just click here. Not only will I answer your question, but I will also give you a lovely, big shout out, which is nice.Find out more about the podcast on the Photography Explained Podcast websiteAnd find out all about me on my photography websiteThanks very much for listeningCheers from me Rick

As far as we know - besides Kubernetes there is only Prometheus that belongs to the prestigious group of open-source projects that have their own documentary. Now why is that? Prometheus has emerged as the go-to solution for capturing metrics in modern software stacks, earning its status as the de facto standard. With its widespread adoption and a constantly expanding ecosystem of companion tools, Prometheus has become a pivotal component in the software development landscape.Join us as we sit down with Björn Rabenstein, an accomplished engineer at Grafana, who has dedicated nearly a decade to actively contributing to the Prometheus project. Björn takes us on a journey through the project's early days, unravels the reasons behind its meteoric rise, and provides us with insightful technical details, including his personal affinity for Histograms.Here are the links we discussed during the podcast for you to follow up:Prometheus Documentary: https://www.youtube.com/watch?v=rT4fJNbfe14First Prometheus talk at SRECon 2015: https://www.youtube.com/watch?v=bFiEq3yYpI8The Zen of Prometheus: https://the-zen-of-prometheus.netlify.app/Talk from Observability Day KubeCon 2023: https://www.youtube.com/watch?v=TgINvIK9SYcSecret History of Prometheus Histograms: https://archive.fosdem.org/2020/schedule/event/histograms/Prometheus Histograms: https://promcon.io/2019-munich/talks/prometheus-histograms-past-present-and-future/Native Histograms: https://promcon.io/2022-munich/talks/native-histograms-in-prometheus/PromQL for Histograms: https://promcon.io/2022-munich/talks/promql-for-native-histograms/

According to Wikipedia, Causality (also referred to as causation, or cause and effect) is the agency or efficacy that connects one process (the cause) with another process or state (the effect), where the first is understood to be partly responsible for the second, and the second is dependent on the first. In general, a process has many causes, which are said to be the causal factors for it, and all lie in its past. An effect can, in turn, be a cause of many other effects. You must be thinking that why I am saying all these things. Right? It is just to increase your curiosity. You will soon be able to relate to it. To read more visit: https://www.elearnmarkets.com/blog/macd-histogram-demystified/

Magnetic field properties in star formation: a review of their analysis methods and interpretation by Junhao Liu et al. on Monday 12 September Linearly polarized emission from dust grains and molecular spectroscopy is an effective probe of the magnetic field topology in the interstellar medium and molecular clouds. The longstanding Davis-Chandrasekhar-Fermi (DCF) method and the recently developed Histogram of Relative Orientations (HRO) analysis and the polarization-intensity gradient (KTH) method are widely used to assess the dynamic role of magnetic fields in star formation based on the plane-of-sky component of field orientations inferred from the observations. We review the advances and limitations of these methods and summarize their applications to observations. Numerical tests of the DCF method, including its various variants, indicate that its largest uncertainty may come from the assumption of energy equipartition, which should be further calibrated with simulations and observations. We suggest that the ordered and turbulent magnetic fields of particular observations are local properties of the considered region. An analysis of the polarization observations using DCF estimations suggests that magnetically trans-to-super-critical and averagely trans-to-super-Alfv'{e}nic clumps/cores form in sub-critical clouds. High-mass star-forming regions may be more gravity-dominant than their low-mass counterparts due to higher column density. The observational HRO studies clearly reveal that the preferential relative orientation between the magnetic field and density structures changes from parallel to perpendicular with increasing column densities, which, in conjunction with simulations, suggests that star formation is ongoing in trans-to-sub-Alfv'{e}nic clouds. There is a possible transition back from perpendicular to random alignment at higher column densities. Results from observational studies using the KTH method broadly agree with those of the HRO and DCF studies. arXiv: http://arxiv.org/abs/http://arxiv.org/abs/2208.06492v2

In today's episode Kersten discusses the advantages of using a light meter versus the histogram or simply eyeballing the correct exposure.======================================00:00:00 Intro00:03:02 How to get a correct exposure using light meter, histogram or eyeballing00:18:14 Apple announces iPhone 1400:21:00 Hasselblad X2D 100C======================================THIS WEEK'S LINKS:JOIN THE CAMERA SHAKE COMMUNITY for the latest news and some behind the scenes insights:  www.camerashakepodcast.com======================================CAMERA SHAKE PODCAST ON YOUTUBE:https://www.youtube.com/camerashakeFULL EPISODE 119 IS ALSO AVAILABLE ON: YouTube -Apple Podcasts - https://apple.co/2Y2LmfmSpotify - https://spoti.fi/304sm2G======================================FOLLOW US ONInstagram: https://www.instagram.com/camerashakepodcast/Facebook: https://www.facebook.com/groups/camerashakepodcastTwitter: https://twitter.com/ShakeCameraTikTok: https://www.tiktok.com/@camerashakepodcastKersten's website:www.kerstenluts.comKersten on Instagram:https://www.instagram.com/kerstenluts/https://www.instagram.com/threeheadsinarow/Nick on Instagram:https://www.instagram.com/nickkirbymedia/

Lexman interviews Jeff Atwood, co-founder of Bitcoin Magazine and O'Reilly Media's Head of Technology.During the interview, they discuss Atwood's new book "Histogram: The Poster Child for Behavioral Economics", which outlines how behavioral economics can be used to improve business decision-making.

Episode 70: Today's Tidbit Tuesday topic was inspired by one of our listeners who wanted to understand exposure better.  So if you wish to get a better grasp of the exposure settings of aperture, shutter speed, and ISO and even start photographing in manual mode, then this episode is for you.  Enjoy!LINKS MENTIONED:OPS Articles:  What is Aperture in Photography?Aperture and F-Stops ExplainedWhich Aperture Should I Use in Outdoor Photography?ISO: It's Not What You ThinkISO: Why All the Noise?Episode 30: Understanding Histograms, ETTR, and ETTLEpisode 38: Should You Buy Filters? Landscape Photography Filters ExplainedEpisode 42: How and When to Use Exposure CompensationFull Show Notes***HAVE A QUESTION?Record a Question for Tidbit TuesdayLOVE THE OUTDOOR PHOTOGRAPHY PODCAST?Ways you can support the show:Buy Me a CoffeeLeave a Rating and ReviewSign up for the Outdoor Photography School NewsletterShare the show with others!CONFUSED ABOUT WHERE TO FOCUS?Download my FREE Hyperfocal Distance Made Easy EbookABOUT BRENDA PETRELLA (host)Learn more about meVisit my online portfolioConnect with me on InstagramTo register for the Nature Photographer's Network “Ask Me Anything” with Brenda Petrella on August 3rd at 9:00am (EST), go to https://npn.link/brenda-ama.To become a member of Nature Photographer's Network (NPN), go to https://npn.link/ops and get 10% off your first annual subscription with the coupon code "OPS10" at checkout.

What Is A Histogram And How Can It Help Us When We Shoot?  Hi and welcome to Episode 114 of the Photography Explained podcast.I'm your host Rick, and in each episode I will try to explain one photographic thing to you in plain English in less than 10 minutes (ish) without the irrelevant details. What I tell you is based on my lifetime of photographic experience. And not Google. No Google required but I did need my camera which was nice.Before I go on I need your help. I need your questions to answer. More on this at the end.Here is the answery bit.A histogram is a visual representation of the tones in a photo. A histogram is a graph which shows the distribution of the range of tones from black to white. Histograms can be found in most cameras, and also in image editing software such as Lightroom. A histogram will tell you if a photo has been under exposed or overexposed, or if the exposure is OK. Every histogram is different, and the data in a histogram can help with image capture and processing.Listen for more, or check out the transcript and even the blog post - so many ways to find out more!What's next?Glad you asked! In Photography Explained Podcast 115 -  Listener Question. My Gear Is Covered In Soot From The Great Dorset Steam Fair.Get your question answered.This is what my podcast is all about, answering your photography questions. So please get in touch with your question, and not only will I answer your question, but I will give a shout out on that episode, which is nice. And better than me giving me a shout out!! Just head over to photographyexplainedpodcast.com/start.Check out my my blogCheck out my photography blog where you will find lots more photography stuff all written by me.Did you enjoy this episode?If you did please do the following, which will help me and not take too much time.·         Rate and review my podcast·         Subscribe·         Tell anyone you think might like my podcastThank you very much for listening and see you on the next episode.Rick McEvoy – Photography Explained PodcastSupport the show Support the show (https://www.buymeacoffee.com/Rickmcevoy)

Today's episode of Research Like a Pro is about what Nicole learned at the SLIG course, DNA Dreamers in Action: Writing Proof Arguments in January. Karen Stanbary coordinated the course and was assisted by Tom Jones, Nancy Peters, and Scott Wilds. The course was a chance to practice writing a DNA proof argument while learning essential skills. Peer review was included as part of the course as well. Join Diana and Nicole as they discuss five takeaways from the course and gain ideas for studying proof arguments in the NGSQ. Links NGS Conference 2022 Program - Nicole and Diana are speaking - https://conference.ngsgenealogy.org/wp-content/uploads/pdf/NGS-2022-ConfRegBroch-01102022-Final.pdf Salt Lake Institute of Genealogy - SLIG website - https://slig.ugagenealogy.org/index.php SLIG Academy 2023 -  DNA Dreamers in Action: Writing Proof Arguments - https://slig.ugagenealogy.org/cpage.php?pt=643 Standard Deviation - Explained and Visualized - Youtube video - https://www.youtube.com/watch?v=MRqtXL2WX2M What is a Histogram? - YouTube Video - https://www.youtube.com/watch?v=YLPDPglvePY Shared cM Project PDF - by Blaine Bettinger - https://thegeneticgenealogist.com/wp-content/uploads/2020/03/Shared-cM-Project-Version-4.pdf Submit to the Shared cM Project: Spreadsheet submissions for those submitting over 100 rows: https://www.facebook.com/groups/geneticgenealogytipsandtechniques/posts/1280634072400290/ Individual submissions: https://tinyurl.com/SharedcentiMorganProject Research Like a Pro Resources Research Like a Pro: A Genealogist's Guide book by Diana Elder with Nicole Dyer on Amazon.com - https://amzn.to/2x0ku3d Research Like a Pro eCourse - independent study course -  https://familylocket.com/product/research-like-a-pro-e-course/ RLP Study Group - upcoming group and email notification list - https://familylocket.com/services/research-like-a-pro-study-group/ Research Like a Pro with DNA Resources Research Like a Pro with DNA: A Genealogist's Guide to Finding and Confirming Ancestors with DNA Evidence book by Diana Elder, Nicole Dyer, and Robin Wirthlin - https://amzn.to/3gn0hKx Research Like a Pro with DNA eCourse - independent study course -  https://familylocket.com/product/research-like-a-pro-with-dna-ecourse/ RLP with DNA Study Group - upcoming group and email notification list - https://familylocket.com/services/research-like-a-pro-with-dna-study-group/ Thank you Thanks for listening! We hope that you will share your thoughts about our podcast and help us out by doing the following: Share an honest review on iTunes or Stitcher. You can easily write a review with Stitcher, without creating an account. Just scroll to the bottom of the page and click "write a review." You simply provide a nickname and an email address that will not be published. We value your feedback and your ratings really help this podcast reach others. If you leave a review, we will read it on the podcast and answer any questions that you bring up in your review. Thank you! Leave a comment in the comment or question in the comment section below. Share the episode on Twitter, Facebook, or Pinterest. Subscribe on iTunes, Stitcher, Google Play, or your favorite podcast app. Sign up for our newsletter to receive notifications of new episodes - https://familylocket.com/sign-up/ Check out this list of genealogy podcasts from Feedspot: Top 20 Genealogy Podcasts - https://blog.feedspot.com/genealogy_podcasts/

This week's episode is about Histograms.  A histogram is a graph that shows the brightness of the pixels in your image. The horizontal axis of the histogram goes from pure black on the left side, to the brightest white on the right.  The vertical axis shows how many pixels are in that tone.In this episode I cover:What is a Histogram?How do I see the Histogram?Is it necessary to use a Histogram?How do you read a Histogram?Not in all casesMistakes and PitfallsA transcript of this podcast is available here - Visit 50mmframework.com and become a Member. It's free and you get access to all the downloads, including the Pricing Calculator, mini-courses, and videos of how I process my RAW images.Photo-a-Day for 2022 is on Instagram - #50mmFrameworkJoin the Facebook Group and ask as many questions as you like.Leave a voice message for Andy at SpeakPipe.com/pqa

“Live simply, love generous, care deeply, speak kindly and leave the rest to God.” - Ronald Reagan   How do you build and nurture and audience?   Author Kevin Kelly has said that if you put enough value in your business to attract 1000 true fans, you will have a 6 to 7 or even 8 figure business. But you've got to be willing to do the work.   In this episode, you'll learn: How to create a powerful message that speaks to the people who need to hear it. How to keep people engaged and consuming your content. How to make use of social media to deliver your message and your content.   Also mentioned in this episode: Kevin Kelly 1000 True Fans Russ Rofino, CEO of Clients On Demand The Thought Leaders Journey: A Fable Of Life Visit eCircleAcademy.com and book a free success with Nicky to take your practice to the next level.

Episode 42: Today we return to our normal, more technically oriented Tidbit Tuesday episode with an explanation of exposure compensation - what it is, and how and when to use it in your outdoor photography.  I tie together important photography concepts around exposure, priority modes, why histograms are better than camera meters, and more.  I also announce the winner of the Backblaze license giveaway!  A huge thank you to all who participated!LINKS MENTIONED:OPS Articles:What is Aperture in Outdoor Photography: Key Concepts ExplainedAperture and F-Stops ExplainedWhich Aperture Should I Use for Outdoor Photography?ISO: It's Not What You ThinkBackblaze Online Backup (affiliate link)Episode 30: Tidbit Tuesday: Histograms, ETTR, and ETTL ExplainedFull Show Notes***HAVE A QUESTION?Record a Question for Tidbit TuesdayLOVE THE OUTDOOR PHOTOGRAPHY PODCAST?Ways you can support the show:Buy Me a CoffeeLeave a Rating and ReviewSign up for the Outdoor Photography School NewsletterShare the show with others!CONFUSED ABOUT WHERE TO FOCUS?Download my FREE Hyperfocal Distance Made Easy EbookABOUT BRENDA PETRELLA (host)Learn more about meVisit my online portfolioConnect with me on Instagram

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Pseudorandomness contest: prizes, results, and analysis , published by UnexpectedValues on the LessWrong. This is a linkpost for/ (Previously in this series: Round 1, Round 2) In December I ran a pseudorandomness contest. Here's how it worked: In Round 1, participants were invited to submit 150-bit strings of their own devising. They had 10 minutes to write down their string while using nothing but their own minds. I received 62 submissions. I then used a computer to generate 62 random 150-bit strings, and put all 124 strings in a random order. In Round 2, participants had to figure out which strings were human-generated (I'm going to call these strings fake from now on) and which were “truly” random (I'm going to call these real). In particular, I asked for probabilities that each string was real, so participants could express their confidence rather than guessing “real” or “fake” for each string. I received 27 submissions for Round 2. This post is long because there are lots of fascinating things to talk about. So, feel free to skip around to whichever sections you find most interesting; I've done my best to give descriptive labels. But first: Prizes Round 1 Thank you to the 62 of you who submitted strings in Round 1! Your strings were scored by the average probability of being real assigned by Round 2 participants, weighted by their Round 2 score. (Entries with negative Round 2 scores received no weight). The top three scores in Round 1 were: Jenny Kaufmann, with a score of 69.4%. That is, even though Jenny's string was fake, Round 2 participants on average gave her string a 69.4% chance of being real. For winning Round 1, Jenny was given the opportunity to allocate $50 to charity, which she chose to give to the GiveWell Maximum Impact Fund. Reed Jacobs, with a score of 68.8%. Reed allocated $25 to Canada/USA Mathcamp. Eric Fletcher, with a score of 68.6%. Eric allocated $25 to the Poor People's Campaign. Congratulations to Jenny, Reed, and Eric! Round 2 A big thanks to the 27 of you (well, 28 — 26 plus a team of two) who submitted Round 2 entries. I estimate that the average participant put in a few hours of work, and that some put in more than 10. Entries were graded using a quadratic scoring rule (see here for details). When describing Round 2, I did a back-of-the-envelope estimate that a score of 15 on this round would be good. I was really impressed by the top two scores: Scy Yoon and William Ehlhardt, who were the only team, received a score of 28.5, honestly higher than I thought possible. They allocated $150 to the GiveWell Maximum Impact Fund. Ben Edelman received a score of 25.8. He allocated $75 to the Humane League. Three other participants received a score of over 15: simon received a score of 21.0. He allocated $25 to the Machine Intelligence Research Institute. Adam Hesterberg received a score of 19.5. He allocated $25 to the Sierra Club Beyond Coal campaign. Viktor Bowallius received a score of 17.3. He allocated $25 to the EA Long Term Future Fund. Congratulations to Scy, William, Ben, simon, Adam, and Viktor! All right, let's take a look at what people did and how well it worked! Round 1 analysis Summary statistics Recall that the score of a Round 1 entry is a weighted average of the probabilities assigned by Round 2 participants to the entry being real (i.e. truly random). The average score was 39.4% (this is well below 50%, as expected). The median score was 45.7%. Here's the full distribution: Figure 1: Histogram of Round 1 scores Interesting: the distribution is bimodal! Some people basically succeeded at fooling Round 2 participants, and most of the rest came up with strings that were pretty detectable as fakes. Methods I asked participants to describe the method they used to generate their string. Of the 58 participants who told me what the...

#030: Have you heard that using the histogram is a better way to assess exposure than your camera's metering system?  Are you still a bit confused on how to properly use the histogram, and it means to expose to the right (ETTR) or expose to the left (ETTL)?  Do you know the difference between the luminosity and RGB histograms and what each can tell you about your exposure?  In today's Tidbit Tuesday, I breakdown what histograms are, how to read them, and how to use them to assess your exposure settings, and more.  Enjoy!* Loving the podcast?  Please consider leaving a short review on Apple Podcasts (outdoorphotographyschool.com/apple-podcasts).  It only takes a minute, and ratings and reviews are extremely helpful in getting the word out about the show, convincing hard-to-get guests, and are greatly appreciated by me!  I read each and every one of them, so thank you!* Episode 30 Show Notes: outdoorphotographyschool.com/episode30* Submit a question for Tidbit Tuesdays: speakpipe.com/OutdoorPhotographyPodcast* Confused about where to focus in landscape photography? Download your FREE Hyperfocal Distance Made Easy Ebook! (outdoorphotographyschool.com/hyperfocaldistance/)Support the show (https://www.buymeacoffee.com/brendapetrella)

This weeks' EYE ON NPI is right on time, it's the ST VL53L5CX Time-of-Flight Ranging Sensor, (https://www.digikey.com/en/product-highlight/s/stmicroelectronics/vl53l5cx-time-of-flight-ranging-sensor) the latest in a long line of successful and popular ToF ranging sensors. These sensors have gone through many revisions, and each version has improved on the prior one. Starting with the VL6180X (https://www.digikey.com/en/products/detail/stmicroelectronics/VL6180XV0NR-1/4854909?s=N4IgTCBcDaIGoBkBsBGAHABgBogLoF8g), the VL53L0X (https://www.digikey.com/en/products/detail/stmicroelectronics/VL53L0CXV0DH-1/6023691?s=N4IgTCBcDaIG4BsCsBmBAGAxgDxAXQF8g) and VL53L1X (https://www.digikey.com/en/products/detail/stmicroelectronics/VL53L1CXV0FY-1/8258055?s=N4IgTCBcDaIGoBkCsBmBBGAwgDRAXQF8g), these sensors increase the range, speed, accuracy with each generation. Each sensor works the same way: they have a tiny near-IR laser that emits light and is bounced off nearby objects to determine the distance. The sensor has extra-ordinary time sensing, so it can measure the ‘time of flight' between the photon emitted by the laser, and when it arrives bounced back. Thus, they are called “Time of Flight / ToF” sensors and the series of boards are called ST FlightSense (https://www.digikey.com/en/products/filter/optical-sensors-distance-measuring/542?s=N4IgjCBcoLQCxVAYygMwIYBsDOBTANCAG4B2aWehA9lANohxwDsATBALqEAOALlCCAC%2BwoA). STMicroelectronics' VL53L5CX is a state of the art, time-of-flight (ToF), laser-ranging sensor enhancing the ST FlightSense product family. Housed in a miniature reflowable package, it integrates a single-photon avalanche diode (SPAD) array, physical infrared filters, and diffractive optical elements (DOE) to achieve the best-ranging performance in various ambient lighting conditions with a range of cover glass materials. The use of a DOE above the vertical cavity surface-emitting laser (VCSEL) allows a square FoV to be projected onto the scene. The reflection of this light is focused by the receiver lens onto a SPAD array. Unlike conventional IR sensors, the VL53L5CX uses ST's latest generation, direct ToF technology, which allows absolute distance measurement whatever the target color and reflectance. It provides accurate ranging up to 400 cm and can work at fast speeds (60 Hz), which makes it the fastest, multizone, miniature ToF sensor currently on the market...the VL53L5CX is able to detect different objects within the FoV with a distance information range up to 60 cm. The Histogram also provides immunity to cover glass crosstalk beyond 60 cm. Multizone distance measurements are possible up to 8x8 zones with a wide 61° diagonal FoV that can be reduced by software. The big updates in the L5 version is a new diffraction element which allows the SPAD to measure an 8x8 zone of distance measurements, which makes it more like a spatial LIDAR than a point-LIDAR. It's not super-fast, but you can use it for gesture recognition and possibly simple robotics-navigation. The price is not much different than before, and you still get 4 meter range. Another nice thing about this sensor is ST is starting to release 'platform agnostic' sensor drivers, including an 'ultra lite driver' for this chip that is easy to port to other platforms (https://www.st.com/en/imaging-and-photonics-solutions/vl53l5cx.html#tools-software) without heavy IDE/toolchain/chipset dependencies. The ST VL53L5CX is in stock right now for immediate shipment from Digi-Key! (https://www.digikey.com/short/hwb7rd0m) There's also eval/dev boards if you want to get started instantly. Order today and you can add a micro-LiDAR to your project or product by tomorrow afternoon. See on digikey.com at https://www.digikey.com/short/hwb7rd0m

Watch the live stream: Watch on YouTube About the show Sponsored by us: Check out the courses over at Talk Python And Brian's book too! Special guest: Will McGugan Michael #1: Wrapping C++ with Cython By Anton Zhdan-Pushkin A small series showcasing the implementation of a Cython wrapper over a C++ library. C library: yaacrl - Yet Another Audio Recognition Library is a small Shazam-like library, which can recognize songs using a small recorded fragment. For Cython to consume yaacrl correctly, we need to “teach” it about the API using `cdef extern It is convenient to put such declarations in *.pxd files. One of the first features of Cython that I find extremely useful — aliasing. With aliasing, we can use names like Storage or Fingerprint for Python classes without shadowing original C++ classes. Implementing a wrapper: pyaacrl - The most common way to wrap a C++ class is to use Extension types. As an extension type a just a C struct, it can have an underlying C++ class as a field and act as a proxy to it. Cython documentation has a whole page dedicated to the pitfalls of “Using C++ in Cython.” Distribution is hard, but there is a tool that is designed specifically for such needs: scikit-build. PyBind11 too Brian #2: tbump : bump software releases suggested by Sephi Berry limits the manual process of updating a project version tbump init 1.2.2 initializes a tbump.toml file with customizable settings --pyproject will append to pyproject.toml instead tbump 1.2.3 will patch files: wherever the version listed (optional) run configured commands before commit failing commands stop the bump. commit the changes with a configurable message add a version tag push code push tag (optional) run post publish command Tell you what it's going to do before it does it. (can opt out of this check) pretty much everything is customizable and configurable. I tried this on a flit based project. Only required one change # For each file to patch, add a [[file]] config # section containing the path of the file, relative to the # tbump.toml location. [[file]] src = "pytest_srcpaths.py" search = '__version__ = "{current_version}"' cool example of a pre-commit check: # [[before_commit]] # name = "check changelog" # cmd = "grep -q {new_version} Changelog.rst" Will #3: Closember by Matthias Bussonnier Michael #4: scikit learn goes 1.0 via Brian Skinn The library has been stable for quite some time, releasing version 1.0 is recognizing that and signalling it to our users. Features: Keyword and positional arguments - To improve the readability of code written based on scikit-learn, now users have to provide most parameters with their names, as keyword arguments, instead of positional arguments. Spline Transformers - One way to add nonlinear terms to a dataset's feature set is to generate spline basis functions for continuous/numerical features with the new SplineTransformer. Quantile Regressor - Quantile regression estimates the median or other quantiles of Y conditional on X Feature Names Support - When an estimator is passed a pandas' dataframe during fit, the estimator will set a feature_names_in_ attribute containing the feature names. A more flexible plotting API Online One-Class SVM Histogram-based Gradient Boosting Models are now stable Better docs Brian #5: Using devpi as an offline PyPI cache Jason R. Coombs This is the devpi tutorial I've been waiting for. Single machine local server mirror of PyPI (mirroring needs primed), usable in offline mode. $ pipx install devpi-server $ devpi-init $ devpi-server now in another window, prime the cache by grabbing whatever you need, with the index redirected (venv) $ export PIP_INDEX_URL=http://localhost:3141/root/pypi/ (venv) $ pip install pytest, ... then you can restart the server anytime, or even offline $ devpi-server --offline tutorial includes examples, proving how simple this is. Will #6: PyPi command line Extras Brian: I've started using pyenv on my Mac just for downloading Python versions. Verdict still out if I like it better than just downloading from pytest.org. Also started using Starship with no customizations so far. I'd like to hear from people if they have nice Starship customizations I should try. vscode.dev is a thing, announcement just today Michael: PyCascades Call for Proposals is currently open Got your M1 Max? Prediction: Tools like Crossover for Windows apps will become more of a thing. Will: GIL removal https://docs.google.com/document/u/0/d/18CXhDb1ygxg-YXNBJNzfzZsDFosB5e6BfnXLlejd9l0/mobilebasic?urp=gmail_link https://lwn.net/SubscriberLink/872869/0e62bba2db51ec7a/ vscode.dev Joke: The torture never stops IE (“Safari”) Eating Glue

This episode features the story 'Histogram' by Katharine Macfarlane and 'Crossing The Loch', a poem from our new Scottish Makar Kathleen Jamie.

MySQL is an open source, multi-user, and multi-threaded database management system. What's more, it's still growing, as our guests, Airton Lastori and Dave Stokes, longtime users of MySQL, emphasize.We asked Airton and Dave about the newest, most exciting, and lesser-known features of MySQL. They responded enthusiastically. All quotes in this list from Dave Stokes.Recursive CTE:  as Dave explains it, this is “...an easy, painless way to write subqueries. They're easier to comprehend than standard subqueries too.”Dual passwords: saves and discards secondary passwords, helping you avoid downtimeHash joins: make joins go much more quicklyContention Aware Transaction Scheduler (CATS) : “If you have columns and rows in your data at a certain load level, this automatically switches on and knows how to handle the very hot contention there.”Invisible indexes: “Now, you can make an index invisible to the optimizer, run your explain again, make the index visible again, all without having to go back and rebuild that index.” Histograms: “A histogram is a bunch of buckets that know where the range of your data is, and the optimizer knows how to get your data much faster.”And others, including:Materialized columnsJSON supportDedicated key value interfaceMySQL's futureWhile they are huge MySQL fans, Airton and Dave do have some wishes for its future, such as improved replication, analytics, and help for beginners. Dave says, “It's a steep learning curve to get someone to use a relational database. The more I look at the beginner stuff, we're not doing enough to help people get on their way to becoming database developers.”MySQL isn't going anywhereAs an extremely popular database management system, MySQL is embedded in the very fabric of the web, and it's here to stay. Dave says, “MySQL is used by Booking.com, Ticketmaster, Twitter, Facebook, local YMCAs, big government organizations, and flight operations for the US Navy. MySQL is everywhere.”Airton adds, “Our job is to make MySQL even easier to use and continue to be reliable. So we try to implement features that customers are looking for, that developers are looking for, and keep the roots for people that are already using MySQL as a database.”Try MySQL on Platform.shPlatform.shLearn more about us.Get started with a free trial.Have a question? Get in touch!Platform.sh on social mediaTwitter @platformshTwitter (France): @platformsh_frLinkedIn: Platform.shLinkedIn (France): Platform.shFacebook: Platform.shWatch, listen, subscribe to the Platform.sh Deploy Friday podcast:YouTubeApple PodcastsBuzzsproutPlatform.sh is a robust, reliable hosting platform that gives development teams the tools to build and scale applications efficiently. Whether you run one or one thousand websites, you can focus on creating features and functionality with your favorite tech stack.

Episode 65 - Relative to the HistogramKyle and Gilbert went on a trip.Show NotesSony FX3Correction: Gilbert thought the XLR module on the FX3's included top handle (AKA "XLR handle") was moveable. It's definitely not. It's clearly permanently affixed and early reports were wrong. Know who was right though? Kyle!Sony a1Canon C70Potato Jet's long-term take on the C70Henry Rollins-ish Jr. on the C70 vs the FX6Sony FX6Blackmagic Pocket Cinema Cam 6K ProKyle's super vlog covering the Yosemite Firefall and much moreShalaco's Firefall vlogFuji instax SHARE SP-2 printer, which Gilbert is promptly purchasing

Description Want to learn more about the histogram and Zone System? Listen to this episode to find out more! Our Free Black & White Photography Bootcamp! Follow the link to find out more and sign up! https://www.framefocusfoto.com/bootcamp Links https://www.framefocusfoto.com/post/zoning-in-for-perfect-exposures The Zone System: https://en.wikipedia.org/wiki/Zone_System How does the camera's histogram work: https://photographylife.com/understanding-histograms-in-photography ANOUNCEMENT!!! If you would like us to talk about your work on the show upload your photograph with the hashtag #fff_reviewmyphoto and tag us @framefocusfoto and we will be happy to offer some feedback!

Where we talk about what Service Level Objectives actually are and why they are so important in the field of Site Reliability Engineering. We cover the definition of an SLO, how they relate to error budgets, and take a look at various implementations of time series databases’ support for calculating accurate percentiles. Comments for the episode are welcome - at the bottom of the show notes for the episode there is a Disqus setup, or you can email us at feedback@operations.fm. Sponsors for Episode 98: 42 Lines is a DevOps consulting firm specializing in Observability, Cloud Migration, Cost Control, Security Practices, and Team Mentoring. Links for Episode 98: Atlassian Incident Management High Availibility Percentage Calculation Google SRE Book: Embracing Risk Quantile Definition Four Golden Signals Histograms at Scale VictoriaMetrics Histograms Circonus Log-Linear Histograms T-Digests

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.07.28.225235v1?rss=1 Authors: Zhang, C., Boppart, S. A. Abstract: The metabolic properties of live cells are very susceptible to intra- or extra-cellular perturbations, making their measurements challenging tasks. We show that the dynamics of lipid droplets (LDs) carry information to measure the lipid metabolism of live cells. Coherent anti-Stokes Raman scattering microscopy was used to statistically quantify LD dynamics in living cells in a label-free manner. We introduce dynamic signatures of cells derived from the LD displacement, speed, travel length, and directionality, which allows for the detection of cellular changes induced by stimuli such as fluorescent labeling, temperature change, starvation, and chemical treatment. Histogram fittings of the dynamic signatures using lognormal distribution functions provide quantification of changes in cellular metabolic states. The LD dynamics also enable separation of subpopulations of LDs correlated with different functions. We demonstrate that LD dynamics are new markers to quantify the metabolic changes in live cells. Copy rights belong to original authors. Visit the link for more info

Another week, another episode! We are back again with our regular panelists. George brings us a clinical field study with an AI that is being used to diagnose blindness. Lan discusses the article titled "AI Infrastructure for Everyone, Now Open Sourced." Last but not least, Kyle brings us our paper for the week. He brings us the paper "Extending Machine Learning Classification Capabilities with Histogram Reweighting."  

Hello and welcome!In the fourth installment of the Tri Pod we sat down with Ben Horne to discuss Film Photography. We explain histograms and how to get the most out of them. Our first ever Your Shot goes to Jochen aka Photobowman and Kevin spreads some positive vibes in Kevs Korner. Let us know your two choices over on our socials!We'll have free cheat sheets for Histograms available in our Facebook Group! Just search Tri Pod Community to find us!If you enjoyed the show, we'd love if you could leave review on iTunes. Don't forget to get in touch with us on Facebook, Twitter and InstagramAs always, a big thanks for listening from hosts Sean O'Riordan, Kevin Hennessy and Ronan HD.

Gary and Gareth are flying solo on this one. The title says it all ..

This week on Hands-On Photography, Ant Pruitt discusses the histogram of photography. The histogram can be a very useful tool with regards to understanding your image exposure levels. Also, Ant will dispell the myths behind the histogram.Be sure to complete our annual TWiT listener survey. Go to twit.to/survey20 Host: Ant Pruitt Find Hands-On Photography on your favorite podcatcher. https://twit.tv/shows/hands-on-photography Follow Ant Pruitt on Instagram https://instagram.com/ant_pruitt Follow TWiT on Instagram https://instagram.com/twit Join the TWiT forums https://twit.community Sponsor: expressvpn.com/hop

This week on Hands-On Photography, Ant Pruitt discusses the histogram of photography. The histogram can be a very useful tool with regards to understanding your image exposure levels. Also, Ant will dispell the myths behind the histogram.Be sure to complete our annual TWiT listener survey. Go to twit.to/survey20 Host: Ant Pruitt Find Hands-On Photography on your favorite podcatcher. https://twit.tv/shows/hands-on-photography Follow Ant Pruitt on Instagram https://instagram.com/ant_pruitt Follow TWiT on Instagram https://instagram.com/twit Join the TWiT forums https://twit.community Sponsor: expressvpn.com/hop

This week on Hands-On Photography, Ant Pruitt discusses the histogram of photography. The histogram can be a very useful tool with regards to understanding your image exposure levels. Also, Ant will dispell the myths behind the histogram.Be sure to complete our annual TWiT listener survey. Go to twit.to/survey20 Host: Ant Pruitt Find Hands-On Photography on your favorite podcatcher. https://twit.tv/shows/hands-on-photography Follow Ant Pruitt on Instagram https://instagram.com/ant_pruitt Follow TWiT on Instagram https://instagram.com/twit Join the TWiT forums https://twit.community Sponsor: expressvpn.com/hop

This week on Hands-On Photography, Ant Pruitt discusses the histogram of photography. The histogram can be a very useful tool with regards to understanding your image exposure levels. Also, Ant will dispell the myths behind the histogram.Be sure to complete our annual TWiT listener survey. Go to twit.to/survey20 Host: Ant Pruitt Find Hands-On Photography on your favorite podcatcher. https://twit.tv/shows/hands-on-photography Follow Ant Pruitt on Instagram https://instagram.com/ant_pruitt Follow TWiT on Instagram https://instagram.com/twit Join the TWiT forums https://twit.community Sponsor: expressvpn.com/hop

People often people get confused between the bar charts and histograms. Listen to the podcast to know the exact difference between a bar chart and a histogram. . . Follow my Instagram account:- instagram.com/@aihindishow --- This episode is sponsored by · Anchor: The easiest way to make a podcast. https://anchor.fm/app --- Send in a voice message: https://anchor.fm/aihindishow/message Support this podcast: https://anchor.fm/aihindishow/support

In this episode, we have Dr Timo Rantalainen, who is Research Fellow at the Gerontology Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, Finland.Dr Rantalainen’s area of expertise pertains to neuromuscular and skeletal systems, specifically skeletal adaptation to mechanical loading and neural control of muscles, with a focus on estimating lower limb loading and bone responsiveness. His current research interests include: 1) the effect of loading on bone geometry, 2) neuromuscular function of muscle, 3) muscle and bone adaptations with age, and 4) the measurement of bone geometry using peripheral quantitative computed tomography (pQCT).---This podcast episode is sponsored by Fibion Inc. | The New Gold Standard for Sedentary Behaviour and Physical Activity MonitoringLearn more about Fibion: https://fibion.com/research---Physical Activity Researcher Podcast have created a ‘Purchase Guide for Researchers: Accelerometer-based Activity Trackers’. You can download it from here.---Timestamps:02:00 Funding, success rate and part of luck in the process04:20 Physical state prediction from physical activity13:40 Activity parameters indicative of problems in rehabilitation16:35 Complexity of gait and cognition17.30 Dual task paradigm - simple way of detecting early Alzheimer’s19:30 Variability of gait as indicator of health20:15 Dual task and variability of gait21:13 Exerting hard and thinking23:20 Dual task paradigm during pedalling24:45 Advantages of using ergometer compared to gait25:40 Analysis of accelerometers on thorax and thigh32:10 Relativity of activity intensity classification35:00 Histogram analysis of physical activity36:45 Absolute accelerations as predictors37:50 Why walking is such important to study41:40 Static posturography43.10 Heart rate variability and arrythmias43.50 Variability of walking45.10 How to detect the walking from accelerometer signal56.30 Counts and proprietary algorithms57.40 How to test whether accelerometer you use have been calibrated?

6 Sigma อีกหนึ่งแนวคิดระดับโลกที่พัฒนาองค์กร ต่อเนื่องจาก EP ที่แล้ว สำหรับEP 57 นี้ มารู้จัก กับอีก 3 ขั้นตอนที่เหลือของ D M A I C ในการใช้ 6 Sigma กันนะ 3. Analyze ขั้นตอนนี้คือการวิเคราะห์สาเหตุของปัญหาหลัก ซึ่งเป็นการวิเคราะห์ในเชิงสถิติเพื่อระบุสาเหตุหลักที่ส่งผลโดยตรงต่อปัญหานั้น มี 3 ขั้นตอน a. การวิเคราะห์ข้อมูลตามลักษณะข้อมูลที่เก็บได้ ว่าเป็นการนับ หรือการวัด เช่น ผังการกระจาย (Scatter Diagram) ฮีสโตแกรม (Histogram) b. การวิเคราะห์กระบวนการ เพื่อหาขั้นตอนที่ไม่ก่อให้เกิดมูลค่าเพิ่ม สามารถนำแนวคิด Lean มาช่วยได้ จึงเรียกว่า Lean Six Sigma c. การวิเคราะห์หาสาเหตุที่แท้จริง ซึ่งเรียกสาเหตุหลักนี้ว่า KPIV (Key Process Input Variable) ซึ่งต้องสามารถระบุให้ชัดเจนว่า อะไรคือ KPIV ของปัญหาและต้องสามารถเชื่อมโยงกับ ตัวหลักของกระบวนการ หรือที่เรียกว่า KPOV (Key Process Output Variable) ให้ได้ หลักการสถิติที่ใช้ในการวิเคราะห์ ได้แก่ การตรวจสอบสมมติฐาน (Hypothesis Testing) ผังการกระจาย (Scattering Diagram) การวิเคราะห์การถดถอย (Regression Analysis) เป็นต้น 4. Improvement  a. สร้างแนวทางแก้ไขปัญหา ขั้นตอนนี้คือการปรับตั้งค่าสาเหตุหลัก (KPIV) โดยมีจุดประสงค์เพื่อให้ผลลัพธ์ของกระบวนการเป็นไปตามต้องการ ด้วยการใช้เทคนิคการออกแบบทดลอง(Design of Experiment : DOE) เพื่อปรับตั้งค่าสภาวะต่างๆของกระบวนการให้เป็นไปตามความต้องการ b. เลือกแนวทางการแก้ไขปัญหา 5. Control ขั้นตอนนี้เป็นขั้นตอนสุดท้าย ซึ่งต้องดำเนินการออกแบบระบบควบคุณคุณภาพของกระบวนการเพื่อให้เกิดความมั่นใจว่ากระบวนการจะย้อนไปมีปัญหาเหมือนเดิมอีก DMAIC a. กำหนดการวิธีการทางเทคนิคของการควบคุม เช่น วิธีในการสื่อสาร การผลิต ควบคุมการผลิต/บริการ จุดวิกฤติที่ต้องระมัดระวังในการทำงาน การใช้เครื่องมือสถิติ เช่น Control Chart เป็นต้น b. การจัดทำแผนตอบสนอง มาตรวัดที่สำคัญที่สุดสำหรับกระบวนการใหม่ ข้อกำหนดเฉพาะ และเป้าหมายใหม่ ผลการทำงานที่ได้รับการบันทึกใหม่ ซึ่งจะมีการติดตามอย่างต่อเนื่อง หวังว่าจะเป็นอีกหนึ่งแนวคิดในการบริหารงานของท่านให้ประสบความสำเร็จ หากท่านมีข้อแนะนำ หรือคำถามก็แจ้งเข้ามาใน Podbean ช่อง CM SMART INNOVATION ได้นะครับ และถ้ามีประโยชน์ขอช่วย Follow และแชร์ต่อๆไปด้วยครับ

On this episode of Photo Geek Weekly, Chris Marquardt offers his sage opinions on a great many topics including photo contests, artistic and technical imaging education, what waveforms are for and beer than can(‘t) develop film. Still probably pretty tasty, though! Thanks for listening! Story 1: The Winning Photo of the $120K HIPA Prize Was [...]

On this episode of Photo Geek Weekly, Chris Marquardt offers his sage opinions on a great many topics including photo contests, artistic and technical imaging education, what waveforms are for and beer than can(‘t) develop film. Still probably pretty tasty, though! Thanks for listening! Story 1: The Winning Photo of the $120K HIPA Prize Was [...]

In this week's episode, we continue with our Lighting for Video Series. If you haven't already, check out Lighting for Video (Part 1) where I break down the meanings of Color Temperature, Color Quality, and Histograms. Lighting News! (1:05) This week in Lighting news there were a couple of announcements from the Trade Show, PLASA, happening in Europe. […]

This week's Episode I'm excited to dive in and discuss Lighting for a Video. I'll break down the meanings of Color Temperature, Color Quality, and Histograms. Lighting News (1:15) This week in Lighting News, I wanted to share an article I read in the PLSN Magazine. Brad Schiller writes the Feeding the Machine segment and […]

My favourite quality tool by far is the histogram. In this edition of the PodCast, I talk about how a histogram works and why they are such valuable tools.

We look at how we can use dictionaries to count the frequencies of many things at the same time. We learn how the key and value are related in a dictionary and example the get method to retrieve values from a Python dictionary.

We look at how we can use dictionaries to count the frequencies of many things at the same time. We learn how the key and value are related in a dictionary and example the get method to retrieve values from a Python dictionary.