Podcasts about google dataset search

Марсель Вагизов - кандидат технических наук, заведующий кафедрой информационных систем и технологий СПбГЛТУ им. Кирова. Сегодня у нас в гостях для того, чтобы познакомить наших слушателей с областью знаний геоинформатики. Какие технологии ГИС ландшафтный архитектор может использовать для анализа территорий? А не потеряем ли мы профессию в будущем из-за ИИ в ГИС? Наш телеграм-канал: https://t.me/LAMP_podcast Ссылки от Марселя: Группа секции СНО "Геоинформатика и ИС" https://vk.com/geoltu DATA-set'ы:  1. Поисковые системы по конкретным данным (Google Dataset Search) 2. Служба государственной статистики по отраслям ЕМИСС (https://fedstat.ru/) 3. Инструменты поиска в каталогах или каталогах издателей наборов данных или репозиториях данных (DataCite Search, re3data.org Search) 4. Инструменты поиска в междисциплинарных репозиториях данных (поиск figshare, ScienceDB, поиск Harvard Dataverse, поиск Mendeley Data, Dryad Explore Data). 5. Инструмент поиска по набору данных в Kaggle. Полезный Сайт Марселя Вагизова: http://marselvagizov.com/%d0%b3%d0%b5%d0%be%d0%b4%d0%b0%d0%bd%d0%bd%d1%8b%d0%b5-2/ Ссылки на открытые геоданные: http://ekazakov.info/links.php Статья "5 источников бесплатных спутниковых снимков": https://sovzond.ru/press-center/articles/ers/5823/

In this seventh episode, we discuss how informaticians can help respond to the COVID-19 pandemic. We present the Avida software for artificial life and the Google Dataset Search tool that gives you access to more than 25 million datasets. We offer some advice to trainees on work-life balance during the pandemic and feature Dr. Philip Payne from Washington University in our informatician spotlight. We also discuss several news items and the metaverse. See the show notes for more details and links: http://bmipodcast.org/podcast/episode-6-the-metaverse/

In this week's digital marketing news, we take a "Byte" out of a new 6-second video app, Search Console introduces a removals tool, LinkedIn elevates business pages, Google Dataset Search is out of beta, Pinterest helps you find your perfect shade, Google's featured snippet update isn't finished updating, and get in loser we're going web browsing data shopping.

eicker.TV - Privatsphäre, Google Dataset Search, TikTok, Dfinity LinkedUp - Frisch aus dem Netz. Weiterführende Links und Zitate zu allen angesprochenen Themen finden sich immer via eicker.media⁺ und für diese Folge direkt unter: eicker.TV ist der Videokanal von Gerrit Eicker und eicker.digital zu Technews und Netzpolitik. Wir sprechen Online. Frisch aus dem Netz. https://eicker.digital Wir sprechen Online. http://eicker.TV Frisch aus dem Netz. - https://YouTube.com/eickerTV - https://TikTok.com/@eickerTV - https://Instagram.com/eickerTV - https://SoundCloud.com/eickerTV - https://Twitter.com/eickerTV #eickerTV #Privatsphäre #Technews

Happy Holidays, everyone! Melanie and Mark wrap up a great year by reminiscing about some of their favorite episodes! We also talk about the big news of the year, our favorite articles, and what’s coming up for the GCP Podcast in 2019. Cool things of the week Kubernetes and GKE for developers: a year of Cloud Console blog Reducing gender bias in Google Translate blog Cloud Security Command Center is now in beta and ready to use blog Main content Podcast accomplishments! We have awesome new intro and outro music, new website, new YouTube videos! We hit 1 million and then 2 million downloads! Mark and the podcast are celebrating their three year anniversary! Top 10 most downloaded episodes of all time! GCP Podcast Episode 111: Google Cloud Platform with Sam Ramji podcast GCP Podcast Episode 112: Percy.io with Mike Fotinakis podcast GCP Podcast Episode 146: Google AI with Jeff Dean podcast GCP Podcast Episode 127: SRE vs Devops with Liz Fong-Jones and Seth Vargo podcast GCP Podcast Episode 128: Decision Intelligence with Cassie Kozyrkov podcast GCP Podcast Episode 113: Open Source TensorFlow with Yifei Feng podcast GCP Podcast Episode 88: Kubernetes 1.7 with Tim Hockin podcast GCP Podcast Episode 108: Launchpad Studio with Malika Cantor and Peter Norvig podcast GCP Podcast Episode 130: Data Science with Juliet Hougland and Michelle Casbon podcast GCP Podcast Episode 125: Open Source at Google Cloud Platform with Sarah Novotny podcast Top 10 most downloaded episodes for 2018! Exact same list except Tim Hockin is not #7. Following episodes go up a number and we added to #10 spot. GCP Podcast Episode 122: Project Jupyter with Jessica Forde, Yuvi Panda and Chris Holdgraf podcast Mark’s favorite episodes GCP Podcast Episode 129: Developer Relations with Mandy Waite podcast GCP Podcast Episode 121: Kontributing to Kubernetes with Paris Pittman and Garrett Rodrigues podcast GCP Podcast Episode 131: Actions on Google with Mandy Chan podcast GCP Podcast Episode 148: Wellio with Sivan Aldor-Noiman and Erik Andrejko podcast GCP Podcast Episode 110: CPU Vulnerability with Matt Linton and Paul Turner podcast GCP Podcast Episode 125: Open Source at Google Cloud Platform with Sarah Novotny podcast GCP Podcast Episode 140: Container Security with Maya Kaczorowski podcast Melanie’s favorite episodes GCP Podcast Episode 117: Cloud AI Fei-Fei Li was the Chief Scientist of AI/ML at Google podcast GCP Podcast Episode 114: ML Bias & Fairness with Timnit Gebru and Margaret Mitchell podcast GCP Podcast Episode 141: Accessibility in Tech podcast GCP Podcast Episode 136: Robotics with Raia podcast GCP Podcast Episode 150: Strange Loop, Remote Working, and Distributed Systems with KF podcast DL Indaba GCP Podcast Episode 147: DL Indaba: AI Investments in Africa podcast GCP Podcast Episode 149: Deep Learning Research in Africa with Yabebal Fantaye & Jessica Phalafala podcast GCP Podcast Episode 152: AI Corporations and Communities in Africa with Karim Beguir & Muthoni Wanyoike podcast GCP Podcast Episode 157: NeurIPS and AI Research with Anima Anandkumar podcast Favorite announcements, products, and more at Google Cloud Unity and Google Cloud Strategic Alliance blog Open Match blog Cloud TPU site Google Dataset Search is in beta site No tricks, just treats: Globally scaling the Halloween multiplayer Doodle with Open Match on Google Cloud blog GKE On-Prem site Open Source - Knative release, Skaffold, Istio updates, gVisor, etc. Google in Ghana blog Cloud NEXT blog GCP Podcast Episode 137: Next Day 1 podcast GCP Podcast Episode 138: Next Day 2 podcast GCP Podcast Episode 139: Next Day 3 podcast Unity and DeepMind partner to advance AI research blog Introducing PyTorch across Google Cloud blog Question of the week What were your personal highlights for 2018? Mark Agones Introducing Agones: Open-source, multiplayer, dedicated game-server hosting built on Kubernetes blog github The new website Having Melanie join me on the podcast Melanie Bringing Francesc back Meeting Grace GCP Podcast Episode 142: Agones With Mark Mandel and Cyril Tovena podcast Where can you find us next? It’s the holidays! Special thanks! Thank you guests Thank you Jennifer Thank you HD Interactive: James, Trae, Sabrina, and Sean Thank you Greg Thank you Neil, Chuck, and Shana Thank you MBooth for the website overhaul and social media support Thank you Francesc Thank you listeners!

If you wanted to find a dataset of jokes, how would you do it? What about a dataset of podcast episodes? If your answer was “I’d try Google,” you might have been disappointed—Google is a great search engine for many types of web data, but it didn’t have any special tools to navigate the particular challenges of, well, dataset data. But all that is different now: Google recently announced Google Dataset Search, an effort to unify metadata tagging around datasets and complementary efforts on the search side to recognize and organize datasets in a way that’s useful and intuitive. So whether you’re an academic looking for an economics or physics or biology dataset, or a big old nerd modeling jokes or analyzing podcasts, there’s an exciting new way for you to find data.

In this episode we talk about how the Earth Observation sector identifies itself. In the news we discuss Remote Pixel, Aeolus, icebergs and Google Dataset Search. Amongst other things. If you have questions, comments or corrections then you can contact Alastair (@ajggeoger) and Andrew (@map_andrew) on Twitter using #scenefromabove or @eoscenefrom Shownotes: Remote Pixel's issues with site scraping described in this blog post Aeolus - it's all over Twitter and the mainstream media! Larsen C update Cloud free mosaic of France Google Dataset Search A critical blog post from SentinelHub on the state of EO

Jeff Dean, the lead of Google AI, is on the podcast this week to talk with Melanie and Mark about AI and machine learning research, his upcoming talk at Deep Learning Indaba and his educational pursuit of parallel processing and computer systems was how his career path got him into AI. We covered topics from his team’s work with TPUs and TensorFlow, the impact computer vision and speech recognition is having on AI advancements and how simulations are being used to help advance science in areas like quantum chemistry. We also discussed his passion for the development of AI talent in the content of Africa and the opening of Google AI Ghana. It’s a full episode where we cover a lot of ground. One piece of advice he left us with, “the way to do interesting things is to partner with people who know things you don’t.” Listen for the end of the podcast where our colleague, Gabe Weiss, helps us answer the question of the week about how to get data from IoT core to display in real time on a web front end. Jeff Dean Jeff Dean joined Google in 1999 and is currently a Google Senior Fellow, leading Google AI and related research efforts. His teams are working on systems for speech recognition, computer vision, language understanding, and various other machine learning tasks. He has co-designed/implemented many generations of Google’s crawling, indexing, and query serving systems, and co-designed/implemented major pieces of Google’s initial advertising and AdSense for Content systems. He is also a co-designer and co-implementor of Google’s distributed computing infrastructure, including the MapReduce, BigTable and Spanner systems, protocol buffers, the open-source TensorFlow system for machine learning, and a variety of internal and external libraries and developer tools. Jeff received a Ph.D. in Computer Science from the University of Washington in 1996, working with Craig Chambers on whole-program optimization techniques for object-oriented languages. He received a B.S. in computer science & economics from the University of Minnesota in 1990. He is a member of the National Academy of Engineering, and of the American Academy of Arts and Sciences, a Fellow of the Association for Computing Machinery (ACM), a Fellow of the American Association for the Advancement of Sciences (AAAS), and a winner of the ACM Prize in Computing. Cool things of the week Google Dataset Search is in beta site Expanding our Public Datasets for geospatial and ML-based analytics blog Zip Code Tabulation Area (ZCTA) site Google AI and Kaggle Inclusive Images Challenge site We are rated in the top 100 technology podcasts on iTunes site What makes TPUs fine-tuned for deep learning? blog Interview Jeff Dean on Google AI profile Deep Learning Indaba site Google AI site Google AI in Ghana blog Google Brain site Google Cloud site DeepMind site Cloud TPU site Google I/O Effective ML with Cloud TPUs video Liquid cooling system article DAWNBench Results site Waymo (Alphabet’s Autonomous Car) site DeepMind AlphaGo site Open AI Dota 2 blog Moustapha Cisse profile Sanjay Ghemawat profile Neural Information Processing Systems Conference site Previous Podcasts GCP Podcast Episode 117: Cloud AI with Dr. Fei-Fei Li podcast GCP Podcast Episode 136: Robotics, Navigation, and Reinforcement Learning with Raia Hadsell podcast TWiML & AI Systems and Software for ML at Scale with Jeff Dean podcast Additional Resources arXiv.org site Chris Olah blog Distill Journal site Google’s Machine Learning Crash Course site Deep Learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville book and site NAE Grand Challenges for Engineering site Senior Thesis Parallel Implementations of Neural Network Training: Two Back-Propagation Approaches by Jeff Dean paper and tweet Machine Learning for Systems and Systems for Machine Learning slides Question of the week How do I get data from IoT core to display in real time on a web front end? Building IoT Applications on Google Cloud video MQTT site Cloud Pub/Sub site Cloud Functions site Cloud Firestore site Where can you find us next? Melanie is at Deep Learning Indaba and Mark is at Tokyo NEXT. We’ll both be at Strangeloop end of the month. Gabe will be at Cloud Next London and the IoT World Congress.