Podcasts about wimlds

Marie Sacksick est Head of Data chez CybelAngel et co-organisatrice des meetups WiMLDS (Women in Machine Learning and Data Science), la communauté mondiale regroupant les femmes passionnées par le Machine Learning et la Data Science.On aborde :

As few as 15% of data scientists today are women. And that lack of diversity is a serious issue. AI algorithms are susceptible to bias, so building them requires a team that includes a wide range of views and experiences. What’s preventing more women from joining the field? In this week’s podcast episode, Felipe will be speaking with Fiona Milne, Head of Data and Ai at Whispir and Founder of WiMLDS Chapter Fiona is an Astrophysicist and Mathematician that heads the data and Ai at Whispir. With more than 10 years of experience in data science, Fiona offers Whispir invaluable experience on machine learning with previous projects for NAB, Odds.com.au, MYOB and the ACCC (Australian Competition and Consumer Commission). She has also founded the ‘Women in Machine Learning and Data Science’ Meetup alongside two industry colleagues. The group encourages and supports women in the industry through monthly events which include speakers, panels, evening and lunchtime events. With a Masters in Astrophysics, she also has spent time working on ‘passion projects’ which use machine learning to at images from Kepler telescope and leveraging Google AI’s open-source library Astronet to potentially discover new exoplanets. Quotes: Diversity is really important. Diverse teams are proven to be more creative and more innovative. And they're proven to be better at solving problems, they're proven to be better at making decisions. Biases or unfairness in the development of AI. And that kind of like helps us have a conversation where we get to decide the society that we want to create in the future, instead of blindly perpetuating the one that we've had so far. Knowing that there are improvements we can make there. If you are in a position to vote with your feet, go for it. We need visible leaders that come from different parts, that think differently, that is diverse in their genders and across the spectrum. Thanks to our sponsor Talent Insights Group Read the full episode summary here: Ep 152 Enjoy the show! --- Send in a voice message: https://anchor.fm/datafuturology/message

Today we’re joined by Ana Maria Echeverri, Caroline Chavier, Hilary Mason, and Jacqueline Nolis, our guests for the recent Advancing Your Data Science Career During the Pandemic panel. In this conversation, we explore ways that Data Scientists and ML/AI practitioners can continue to advance their careers despite current challenges. Our panelists provide concrete tips, advice, and direction for those just starting out, those affected by layoffs, and those just wanting to move forward in their careers. Topics we cover include: Guerilla Job Hunting Portfolio Building Navigating Hiring Freezes Acing the Technical Interview Presenting the Best Candidate For more information about our guests, or for links to the resources mentioned, visit the show notes page at twimlai.com/talk/380.

Note: Correction from the intro: Erin is the *co-founder* of R-Ladies Global & Founder of WiMLDS. Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x In this episode, Sanyam Bhutani interviews one of the inspirations for the complete Machine Learning Community: Dr. Erin Ledell, chief machine learning scientist at H2O.ai. Erin holds a PhD from UC Berkeley where her research was focused on machine learning and computational stats, and she has worked in the software industry before joining H2O. They talk all about her journey into the field into starts machine learning and her journey at H2O along with h2o's open source products, h2o-auto ML. Erin clarifies the question of the difference between h2o, h2o-3 and h2o auto ML, so please stay tuned if you're curious to find out the answer to that. They discuss about her work at h2o.ai and Erin shares many great advisors and opinions about auto ML and software or software tools for data scientists or humans generally speaking, Erin is the (co)-founder of Rladies and women in machine learning and data science. They talk about her contributions to the community and how can outsiders or just newcomers contribute to this. Links: http://wimlds.org https://rladies.org H2O: https://www.h2o.ai H2O Tutorials: http://docs.h2o.ai/h2o-tutorials/latest-stable/ https://github.com/h2oai/h2o-3 Follow: Erin LeDell: https://twitter.com/ledell https://www.linkedin.com/in/erin-ledell/ https://github.com/ledell Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Flow by LiQWYD https://soundcloud.com/liqwyd --- Send in a voice message: https://anchor.fm/chaitimedatascience/message

With Surge Syracuse and all of these initiatives, the idea is to keep tech local and tech resources local, and we can't do that if people can't find jobs here. We know the jobs are out there, but people need to be able to find them. Karin and Kelly chat with Amanda Darcangelo, leader of the Syracuse chapter of Women in Machine Learning and Data Science, about her group's upcoming career fair, the importance of collaboration in the tech community, and what it means to be a tech resource in 2020. We also talk about what to bring to a career fair and speculate on the future of cover letters. Connect with Amanda LinkedIn (https://www.linkedin.com/in/amanda-darcangelo-542258b9) | Twitter (https://twitter.com/greaterthanxbar) | Instagram (https://www.instagram.com/greaterthanxbar/) | Salt City Analytics (https://www.saltcityanalytics.com/) Follow Syracuse WiMLDS on Twitter (https://twitter.com/WiMLDS_Syracuse) and join the group on Meetup (https://www.meetup.com/Syracuse-Women-in-Machine-Learning-and-Data-Science) for the latest news and events! Upcoming WiMLDS Events Sign up for the data science and machine learning career fair on Saturday, March 7 at Syracuse CoWorks here (https://www.meetup.com/Syracuse-Women-in-Machine-Learning-and-Data-Science/events/267137352/)! Interested in Martha Grabowski's Unmanned Aerial Systems presentation on February 4? Register here (https://www.meetup.com/Syracuse-Women-in-Machine-Learning-and-Data-Science/events/265117733/)! Music This episode features "Brain Power" by Mela (https://freemusicarchive.org/music/Mela/Mela_two) from the album Mela two. Follow Karin Personal Site (http://www.kethorne.com/) | Twitter (https://twitter.com/kaythorne) | Instagram (https://www.instagram.com/karin_thorne/) | Email (mailto:contact@kethorne.com) JSWebb Development, LLC Business Site (https://jswebbdevelopment.com/) | Twitter (https://twitter.com/JSWebb_Dev) | Instagram (https://www.instagram.com/jswebbdev/) | E-mail (mailto:JSWebbDevelopment@gmail.com) Follow Kelly Personal Site (https://kell.dev/) | [Twitter (https://twitter.com/kellytoearth)] | [Instagram (https://www.instagram.com/kellytoearth/)] | E-mail (mailto:hello@kell.dev) Follow Salt City Code Twitter (https://twitter.com/saltcitycode) | Instagram (https://www.instagram.com/saltcitycode/) | E-mail (mailto:saltcitycode@gmail.com) Special Guest: Amanda Darcangelo.

That Tech Girl is a new podcast series by Dikshita Desai where she introduces her audience to the latest trends in technology, reviews products, books, online courses and discuses tech with experts in the field. This series also covers topics related to developer lifestyles, entrepreneurship, tech communities, and developer problems. Dikshita is the GDG lead and WTM ambassador for the state of Goa, India. She also leads WiMLDS, WiDS, Pyladies and Women Who Go in Goa. Moreover, she is a woman who is always in support of the developers and hosts regular tech events for the state.

Pour ce nouvel épisode de Radio LEDR, Aurélien a eu le plaisir d’échanger avec Caroline Chavier, Head of Tech Talent Acquisition chez Agorize. Ils ont parlé de comment elle est devenue recruteuse dans la Tech, de son investissement dans le meetup WiMLDS, de diversité et d'inclusion dans le recrutement et du hashtag #Lapersonnalisationbordel. Un épisode à écouter absolument si vous recrutez ou que vous voulez recruter dans le secteur Tech mais aussi si vous pensez à vous spécialiser dans un domaine particulier en tant que recruteur. Vous avez des questions sur ce qui a été dit dans le podcast, partagez-les sur les réseaux sociaux avec le #RadioLEDR. Retrouvez également les liens des différentes ressources mentionnées pendant l’épisode : Smart and gets things done de Joel Spolsky Weapons of Math Destruction de Cathy O'Neil Le Projet Implicite d'Harvard pour se tester sur les biais cognitifs Le programme de formation de Facebook sur les biais cognitifs Envie de suivre l’histoire de Caroline ? Faites-lui un

This week, Hugo speaks with Reshama Shaikh, about women in machine learning and data science, inclusivity and diversity more generally and how being intentional in what you do is essential. Reshama, a freelance data scientist and statistician, is also an organizer of the meetup groups Women in Machine Learning & Data Science (otherwise known as WiMLDS) and PyLadies. She has organized WiMLDS for 4 years and is a Board Member. They’ll discuss her work at WiMLDS and what you can do to support and promote women and gender minorities in data science. They’ll also delve into why women are flourishing in the R community but lagging in Python and discuss more generally how NUMFOCUS thinks about diversity and inclusion, including their code of conduct. All this and more.LINKS FROM THE SHOWDATAFRAMED GUEST SUGGESTIONSDataFramed Guest Suggestions (who do you want to hear on DataFramed?)FROM THE INTERVIEWReshama’s BlogReshama on TwitterList of Relevant Conferences (and Code of Conduct info)NYC PyLadies meetupCode of Conduct for NeurIPS and Other Stem OrganizationsNumFOCUS Diversity & Inclusion in Scientific Computing (DISC)NumFOCUS DISCOVER Cookbook (for inclusive events)fastai deep learning notesWiMLDS (Women in Machine Learning and Data Science)NYC WiMLDS meetupTo start a WiMLDS chapter: email info@wimlds.org and more info at our starter kit.WiMLDS WebsiteGlobal List of WiMLDS Meetup ChaptersWiMLDS Paris: They run their meetups in English, so knowledge of French is not required. FROM THE SEGMENTSDataCamp User Stories (with David Sudolsky ~17:27 & ~31:50)Boldr WebsiteOriginal music and sounds by The Sticks.

Thadeu Luz from Hand Talk shares with Melanie and Mark how the free Hand Talk education application translates and interprets spoken and written Portuguese into Brazilian Sign Language (aka LIBRAS or BSL). The application uses an animated avatar Hugo to deliver the signs through gestures and facial expressions and its built off of a statistical machine translation system and Firebase. Future plans include expanding into other languages with a priority on ASL and they welcome support. Thadeu Luz Thadeu Luz is entrepreneur, data scientist and full-stack engineer with a background in 3D Animation, Video Compositing and Architecture. In early 2018 I have joined the Google Developers Experts program as a Firebase Expert. He’s CPO and founder of Hand Talk, an internationally decorated company that produces automatic sign language interpretation with the help of a friendly virtual 3D Character named Hugo. Cool things of the week Our video for NEXT video First research center in Ghana blog GCP in Finland blog AI Adventures BigQuery and Open Datasets video Dockercon and value of childcare at conferences tweet What is going on in Unite Berlin 2018 blog & Powering up Conncected Game Development blog Interview Hand Talk site & video Firebase Hosting site docs Cloud Functions for Firebase site docs Cloud Functions for Firebase Sample Library github Launchpad Studio site and podcast TensorFlow.js site ML Kit for Firebase site & podcast coming next week Serve Dynamic Content with Cloud Functions docs Google Translate Community site Cloud Machine Learning Engine docs Hand Talk Question of the week What DOES a Go developer need to know about GCP? Where can you find us next? Mark is speaking at the Online Kubernetes Community Meeting on the 21st of June, at 10am Pacific. Melanie is speaking at a joint WiMLDS and PyLadies event “Paths to Data Science” on June 26th and Stanford AI4ALL on June 28th.

This week is all about Voices! 🎶🎤🔊 Mandy Chan joins Melanie and Mark to discuss the intricacies of building user Voice user interfaces with Actions on Google, developing with SSML and more! Mandy Chan Mandy Chan is the developer community manager for the Actions On Google team. Her role is to help expand the funnel of the Actions on Google developer community by creating practical tools and content like http://bit.ly/aog-codelab-1 and http://bit.ly/aog-codelab-2 Mandy began to build voice applications back in early 2016, and since then, she has built more than a dozen Voice Applications on Actions On Google and other platforms. One of her most frequently downloaded open source projects is called the SSML-Builder which creates well-formed Speech Synthesis Markup Language without worrying about string concatenation. You can learn more about her open source project on http://bit.ly/ssml-build When she is not pondering about how to improve the developer experience, you can find her hiking at mountains or learning new magic tricks. You can also learn more about Mandy by following @MandyChanNYC Cool things of the week AI at Google: our principles blog Incorporating Google’s AI Principles into Google Cloud blog Deploying to Google Kubernetes Engine blog Fighting fire with machine learning: two students use TensorFlow to predict wildfires blog Together, we can help Puerto Rico recover donation match Introducing sole-tenant nodes for Google Compute Engine — when sharing isn’t an option blog docs Interview Actions on Google site docs github console g+ community ssml-builder site npm Advanced SSML by Leon blog Actions on Google: SSML docs Actions on Google Codelabs level one level two Dialogflow site docs console Google Assistant SDK for devices site Cloud Functions for Firebase docs Google Action Firebase Services docs To get inspired by some interesting voice applications voice experiment Mandy Chan medium github Systers on June 21st 9AM PST – Getting started with Actions on Google Workshop site Question of the week I want to push a Docker image to Google Container Registry via docker push. How can I set things up so that I don’t have to use gcloud docker -- push every time? Pushing and Pulling Images docs Authentication Methods docs Where can you find us next? Mark is speaking at the San Francisco Kubernetes Meetup: Scaling Game Servers and the Conduit Service Mesh on June 14th, and also speaking at the Online Kubernetes Community Meeting on the 21st of June, at 10am Pacific. Melanie is speaking at a joint WiMLDS and PyLadies event “Paths to Data Science” on June 26th and Stanford AI4ALL on June 28th.

Juliet Hougland and Michelle Casbon are on the podcast this week to talk about data science with Melanie and Mark. We had a great discussion about methodology, applications, tools, pipelines, challenges and resources. Juliet shared insights into the unique data science ownership workflow from idea to deployment at Stitch Fix, and Michelle dove into how Kubeflow is playing a role to help drive reliability in model development and deployment. Juliet Hougland Juliet Hougland leads the Workflow, Environment, and Execution team at Stichfix. She is a data scientist and engineer with expertise in computational mathematics and years of hands-on machine learning and big data experience. She has built and deployed production ML models, advised Fortune 500 companies on infrastructure and worked on a variety of open source projects (Apache Spark, Scalding, and Kiji) at the intersection of big data and machine learning. Michelle Casbon Michelle Casbon is a Senior Engineer on the Google Cloud Platform Developer Relations team, where she focuses on open source contributions and community engagement for machine learning and big data tools. Prior to joining Google, she was at several San Francisco-based startups as a Senior Engineer and Director of Data Science. Within these roles, she built and shipped machine learning products on distributed platforms using both AWS and GCP. Michelle’s development experience spans more than a decade and has primarily focused on multilingual natural language processing, system architecture and integration, and continuous delivery pipelines for machine learning applications. She especially loves working with open source projects and is an active contributor to Kubeflow. Michelle holds a masters degree from the University of Cambridge. Cool things of the week Sandeep Dinesh: Kubernetes Best Practices YouTube CNCF TOC voted to accept Helm as an incubation-level hosted project to CNCF site Andriod P in Beta blog Agones 0.2.0 site Securing cloud-connected devices with Cloud IoT and Microchip blog Interview flotilla-os repo Kubeflow repo Cloud Dataproc site & docs Spark site & community site scikit-learn site xgboost repo PyTorch site TensorFlow site and github Kubernetes site github Introducing ultramem Google Compute Engine machine types blog #114 Machine Learning Bias and Fairness with Timnit Gebru and Margaret Mitchell podcast Machine Learning Flash Clards site Open Source Data Science Masters site DockerCon SF site Question of the week If I have written a gRPC Service, but I’m using a language/platform that isn’t supported - is there any way I can access it as REST? grpc-gateway Envoy proxy Transcoding Where can you find us next? Mark is speaking at the San Francisco Kubernetes Meetup: Scaling Game Servers and the Conduit Service Mesh on June 14th. Melanie is speaking at a joint WiMLDS and PyLadies event “Paths to Data Science” on June 26th and Stanford AI4ALL on June 28th.

Mandy Waite joins Mark and Melanie to share what is developer relations and how trust and empathy are key to its success. We discuss meeting developers where they are and the wide variety of differing communities that exist across the technology ecosystem. Mandy Waite Mandy Waite has worked at Google for nearly 8 years, 6 of which have been spent growing and nurturing the Cloud Advocacy team. She heads up the Infrastructure and Ops Advocacy team in Google Cloud with a focus on Cloud Native, DevOps, SRE, Observability and Security. Cool things of the week Better cost control with Google Cloud Billing programmatic notifications blog Music in Motion: a Firebase and IoT story blog Google Cloud Codelabs and Challenges codelabs Kubernetes Podcast site and blog Interview Google Cloud Platform site #46 Borg and K8s with John Wilkes podcast #118 OpenCensus with Morgan McLean and JBD podcast Felipe Hoffa & BigQuery reddit, blog and podcast Livestreaming with Jen Tong Twitch, Holden Karau Twitch, and Chris Broadfoot Twitch Ben Treynor on What is ‘Site Reliability Engineering’ interview Solomon Hykes at dotScale on Docker video Istio site and #85 Istio with Varun Talwar and Sven Mawson podcast Kubernetes site Docker site The Core Competencies of Developer Relations blog Question of the week Where do I go to learn about GDPR in regards to Google Cloud Platform? Google Cloud: Ready for GDPR blog Google Cloud & the General Data Protection Regulation site Where can you find us next? Mark is speaking at the Monthly SF Game Development Community, presenting on You Can’t Just Add More Servers on May the 30th in San Francisco. Melanie is speaking at a joint WiMLDS and PyLadies event “Paths to Data Science” on June 26th. More details to come.

Chief Decision Scientist, Cassie Kozyrkov joins Mark and Melanie this week to explain data science, analytics, machine learning and statistical inference, in relation to decision intelligence. Cassie Kozyrkov As Chief Decision Scientist at Google Cloud, Cassie advises leadership teams on decision process, AI strategy, and building data-driven organizations. She works to democratize statistical thinking and machine learning so that everyone - Google, its customers, the world! - can harness the beauty and power of data. She is the innovator behind the practice of Decision Intelligence Engineering at Google and she has personally trained over 15,000 Googlers in machine learning, statistics, and data-driven decision-making. Before her current role, she served in Google’s Office of the CTO as Chief Data Scientist. Prior to joining Google, Cassie worked as a data scientist and consultant. She holds degrees in mathematical statistics, economics, psychology, and cognitive neuroscience. When she’s not working, you’re most likely to find Cassie at the theater, in an art museum, exploring the world, or curled up with a good novel. Cool things of the week Cloud ML Engine adds Cloud TPU support for training blog docs Google Kubernetes Engine 1.10 is generally available and ready for the enterprise blog Introducing ultramem Google Compute Engine machine types blog Increase performance while reducing costs with the new App Engine scheduler blog docs Interview Decision Intelligence wikipedia Redhat Summit Keynote youtube Data Analytics wikipedia Statistical Analysis wikipedia Machine Learning wikipedia Deep Learning wikipedia There are several other episodes that provide insights into data science: #31 TensorFlow with Eli Bixby podcast #84 Kaggle with Wendy Kan podcast #109 Cloud AutoML Vision with Amy Unruh and Sara Robinson podcast #113 Open Source TensorFlow with Yifei Feng podcast #122 Project Jupyter with Jessica Forde, Yuvi Panda and Chris Holdgraf podcast As well as case studies on real world problems: #91 The Future of Media with Machine Learning with Amit Pande podcast #115 Google Play Marketing with Dom Elliott and Stewart Bryson podcast Question of the week How can I secure my Google Cloud Platoform acoount using a YubiKey? Securing your Cloud Platform Account with Security Keys docs Encrypting Google Application Default and gcloud credentials with GPG SmardCard blog Where can you find us next? Mark will be speaking at the Monthly SF Game Development Community, presenting on You Can’t Just Add More Servers on May the 30th in San Francisco. Melanie is speaking at a joint WiMLDS and PyLadies event “Paths to Data Science” on June 26th. More details to come.