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We started Weights and Biases to build tools for Machine Learning practitioners because we care so much about the impact that Machine Learning can have in the world and we love working in the trenches with the people building these models. One of the most fun things about building these tools has been the conversations with ML practitioners and learning about the interesting things they're working on. This process has been so fun that we decided to open it up to the world and share what ever ...
 
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We're thrilled to have Peter Norvig join us to talk about the evolution of deep learning, his industry-defining book, his work at Google, and what he thinks the future holds for machine learning research.Peter Norvig is a Director of Research at Google Inc; previously he directed Google's core search algorithms group. He is co-author of Artificial …
 
The story of Ray and what lead Robert to go from reinforcement learning researcher to creating open-source tools for machine learning and beyondRobert is currently working on Ray, a high-performance distributed execution framework for AI applications. He studied mathematics at Harvard. He’s broadly interested in applied math, machine learning, and …
 
Sofie and Ines walk us through how the new spaCy library helps build end to end SOTA natural language processing workflows.Ines Montani is the co-founder of Explosion AI, a digital studio specializing in tools for AI technology. She's a core developer of spaCy, one of the leading open-source libraries for Natural Language Processing in Python and P…
 
Supercharging computer vision model performance by generating years of training data in minutes.Daeil Kim is the co-founder and CEO of AI.Reverie(https://aireverie.com/), a startup that specializes in creating high quality synthetic training data for computer vision algorithms. Before that, he was a senior data scientist at the New York Times. And …
 
Scaling and democratizing AI at Facebook and understanding fairness and algorithmic bias.Joaquin Quiñonero Candela is the Tech Lead for Responsible AI, a Director of Engineering in AI at Facebook where he built the Applied Machine Learning team which powers all production applications of AI across Facebook’s products.Prior to this, Joaquin taught a…
 
Richard Socher, ex-Chief Scientist at Salesforce, joins us to talk about The AI Economist, NLP protein generation and biggest challenge in making ML work in the real world.Richard Socher was the Chief scientist (EVP) at Salesforce where he lead teams working on fundamental research(einstein.ai/), applied research, product incubation, CRM search, cu…
 
How Zack went from being a musician to professor, how medical applications of Machine Learning are developing, and the challenges of counteracting bias in real world applications.Zachary Chase Lipton is an assistant professor of Operations Research and Machine Learning at Carnegie Mellon University.His research spans core machine learning methods a…
 
Anthony Goldbloom is the founder and CEO of Kaggle. In 2011 & 2012, Forbes Magazine named Anthony as one of the 30 under 30 in technology. In 2011, Fast Company featured him as one of the innovative thinkers who are changing the future of business.He and Lukas discuss the differences in strategies that do well in Kaggle competitions vs academia vs …
 
👩‍💻Today our guest is Suzanah Ilić!Suzanah is a founder of Machine Learning Tokyo which is a nonprofit organization dedicated to democratizing Machine Learning. They are a team of ML Engineers and Researchers and a community of more than 3000 people.Machine Learning Tokyo: https://mltokyo.ai/Follow Suzanah on twitter: https://twitter.com/suzatweetC…
 
Jeremy Howard is a founding researcher at fast.ai, a research institute dedicated to making Deep Learning more accessible. Previously, he was the CEO and Founder at Enlitic, an advanced machine learning company in San Francisco, California. Howard is a faculty member at Singularity University, where he teaches data science. He is also a Young Globa…
 
As Lyft’s VP of Engineering, Software at Level 5, Autonomous Vehicle Program, Anantha Kancherla has a birds-eye view on what it takes to make self-driving cars work in the real world. He previously worked on Windows at Microsoft focusing on DirectX, Graphics and UI; Facebook’s mobile Newsfeed and core mobile experiences; and led the Collaboration e…
 
Bharath created the deepchem.io open-source project to grow the deep drug discovery open source community, co-created the moleculenet.ai benchmark suite to facilitate development of molecular algorithms, and more. Bharath’s graduate education was supported by a Hertz Fellowship, the most selective graduate fellowship in the sciences. Bharath is the…
 
Chip Huyen is a writer and computer scientist currently working at a startup that focuses on machine learning production pipelines. Previously, she’s worked at NVIDIA, Netflix, and Primer. She helped launch Coc Coc - Vietnam’s second most popular web browser with 20+ million monthly active users. Before all of that, she was a best selling author an…
 
👨🏻‍💻Our guest on this episode of Gradient Dissent is Peter Skomoroch!Peter is the former head of data products at Workday and LinkedIn. Previously, he was the cofounder and CEO of venture-backed deep learning startup SkipFlag, which was acquired by Workday, and a principal data scientist at LinkedIn.Check out his recent publication: What you need t…
 
Josh Tobin is a researcher working at the intersection of machine learning and robotics. His research focuses on applying deep reinforcement learning, generative models, and synthetic data to problems in robotic perception and control.Additionally, he co-organizes a machine learning training program for engineers to learn about production-ready dee…
 
Miles Brundage researches the societal impacts of artificial intelligence and how to make sure they go well. In 2018, he joined OpenAI, as a Research Scientist on the Policy team. Previously, he was a Research Fellow at the University of Oxford's Future of Humanity Institute and served as a member of Axon's AI and Policing Technology Ethics Board.K…
 
Hamel Husain is a Staff Machine Learning Engineer at Github. He has extensive experience building data analytics and predictive modeling solutions for a wide range of industries, including: hospitality, telecom, retail, restaurant, entertainment and finance. He has built large data science teams (50+) from the ground up and have extensive experienc…
 
Peter Welinder is a research scientist and roboticist at OpenAI. Before that, he was an engineer at Dropbox and ran the machine learning team, and before that, he co-founded Anchovi Labs a startup using Computer Vision to organize photos that was acquired by Dropbox in 2012. In this episode of our podcast, Peter shares his experiences and the chall…
 
👩‍💻Today our guest is Vicki Boykis!Vicki is a senior consultant in machine learning and engineering and works with clients to build holistic data products used for decision-making. She's previously spoken at PyData, taught SQL for GirlDevelopIt, and blogs about data pipelines and open internet. Follow her on her website: vickiboykis.comOn twitter: …
 
👩‍💻👩‍💻On this episode of Gradient Dissent our guests are Angela Bassa and Danielle Dean!Angela is an expert in building and leading data teams. An MIT-trained and Edelman-award-winning mathematician, she has over 15 years of experience across industries—spanning finance, life sciences, agriculture, marketing, energy, software, and robotics. Angela …
 
Jack Clark is the Strategy and Communications Director at OpenAI and formerly worked as the world’s only neural network reporter at Bloomberg. Lukas and Jack discuss AI policy, ethics, and the responsibilities of AI researchers.Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims by OpenAI: https://arxiv.org/abs/2004.07213…
 
🏅 See how W&B is your secret weapon to make it onto the Kaggle leaderboards - https://www.wandb.com/kaggle👩‍💻Rachael Tatman is a developer advocate for Rasa, where she helps developers build and deploy conversational AI applications using their open source framework. 🤖💬 She has a PhD in Linguistics from the University of Washington where she resear…
 
👨🏻‍💻Nicolas Koumchatzky is the Director of AI infrastructure at NVIDIA, where he's responsible for MagLev, the production-grade machine learning platform by NVIDIA. His team supports diverse ML use cases: autonomous vehicles, medical imaging, super resolution, predictive analytics, cyber security, robotics. He started as a Quant in Paris, then join…
 
👨🏻‍💻Brandon Rohrer is a Mechanical Engineer turned Data Scientist. He’s currently a Principal Data Scientist at iRobot and has an incredibly popular Machine Learning course at e2eML where he’s made some wildly popular videos on convolutional neural networks and deep learning. His fascination with robots began after watching Luke Skywalker’s prosthe…
 
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