10 episodes

We started Weights and Biases to build tools for Machine Learning practitioners. The reason we did that was 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 these building tools has been the conversations with these ML practitioners and learning about the interesting things they're working on. This process has been so fun that we wanted to open it up to the world in the form of this new podcast and show you what everyone's doing. We hope you have as much fun listening to it as we had making it!

Gradient Dissent - Weights & Biases Lukas Biewald, Lavanya Shukla

    • Technology
    • 5.0, 10 Ratings

We started Weights and Biases to build tools for Machine Learning practitioners. The reason we did that was 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 these building tools has been the conversations with these ML practitioners and learning about the interesting things they're working on. This process has been so fun that we wanted to open it up to the world in the form of this new podcast and show you what everyone's doing. We hope you have as much fun listening to it as we had making it!

    Slow down and change one thing at a time - Advancing AI research with Josh Tobin

    Slow down and change one thing at a time - Advancing AI research with Josh Tobin

    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 deep learning called Full Stack Deep Learning. https://fullstackdeeplearning.com/

    Josh did his PhD in Computer Science at UC Berkeley advised by Pieter Abbeel and was a research scientist at OpenAI for 3 years during his PhD.

    Finally, Josh created this amazing field guide on troubleshooting deep neural networks:
    http://josh-tobin.com/assets/pdf/troubleshooting-deep-neural-networks-01-19.pdf

    Follow Josh on twitter: https://twitter.com/josh_tobin
    And on his website:http://josh-tobin.com/


    Visit our podcasts homepage for transcripts and more episodes!
    www.wandb.com/podcast

    🔊 Get our podcast on Youtube, Apple, and Spotify!
    Youtube: https://www.youtube.com/playlist?list=PLD80i8An1OEEb1jP0sjEyiLG8ULRXFob_
    Apple Podcasts: https://bit.ly/2WdrUvI
    Spotify: https://bit.ly/2SqtadF

    We started Weights and Biases to build tools for Machine Learning practitioners because we care a lot 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 these building tools has been the conversations with these ML practitioners and learning about the interesting things they’re working on. This process has been so fun that we wanted to open it up to the world in the form of our new podcast called Gradient Dissent. We hope you have as much fun listening to it as we had making it!

    👩🏼‍🚀Weights and Biases:
    We’re always free for academics and open source projects. Email carey@wandb.com with any questions or feature suggestions.

    - Blog: https://www.wandb.com/articles
    - Gallery: See what you can create with W&B - https://app.wandb.ai/gallery
    - Continue the conversation on our slack community - http://bit.ly/wandb-forum

    🎙Host: Lukas Biewald - https://twitter.com/l2k
    👩🏼‍💻Producer: Lavanya Shukla - https://twitter.com/lavanyaai
    📹Editor: Cayla Sharp - http://caylasharp.com/

    • 48 min
    Societal Impacts of AI with Miles Brundage

    Societal Impacts of AI with Miles Brundage

    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.

    Keep up with Miles on his website: https://www.milesbrundage.com/
    and on Twitter: https://twitter.com/miles_brundage

    Visit our podcasts homepage for transcripts and more episodes!
    www.wandb.com/podcast

    🔊 Get our podcast on Soundcloud, Apple, and Spotify!
    Apple Podcasts: https://bit.ly/2WdrUvI
    Spotify: https://bit.ly/2SqtadF

    We started Weights and Biases to build tools for Machine Learning practitioners because we care a lot 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 these building tools has been the conversations with these ML practitioners and learning about the interesting things they’re working on. This process has been so fun that we wanted to open it up to the world in the form of our new podcast called Gradient Dissent. We hope you have as much fun listening to it as we had making it!

    👩🏼‍🚀Weights and Biases:
    We’re always free for academics and open source projects. Email carey@wandb.com with any questions or feature suggestions.

    - Blog: https://www.wandb.com/articles
    - Gallery: See what you can create with W&B - https://app.wandb.ai/gallery
    - Continue the conversation on our slack community - http://bit.ly/wandb-forum

    🎙Host: Lukas Biewald - https://twitter.com/l2k
    👩🏼‍💻Producer: Lavanya Shukla - https://twitter.com/lavanyaai
    📹Editor: Cayla Sharp - http://caylasharp.com/

    • 1 hr 2 min
    Building tools for Machine Learning with Hamel Husain

    Building tools for Machine Learning with Hamel Husain

    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 experience building solutions as an individual contributor.

    Follow Hamel on Twitter:
    https://twitter.com/HamelHusain
    And on his website: http://hamel.io/

    Learn more about Github Actions:
    https://github.com/features/actions

    and the CodeSearchNet Challenge:
    https://github.blog/2019-09-26-introducing-the-codesearchnet-challenge/

    Visit our podcasts homepage for transcripts and more episodes!
    www.wandb.com/podcast

    🔊 Get our podcast on Apple, and Spotify!
    Apple Podcasts: https://bit.ly/2WdrUvI
    Spotify: https://bit.ly/2SqtadF

    We started Weights and Biases to build tools for Machine Learning practitioners because we care a lot 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 these building tools has been the conversations with these ML practitioners and learning about the interesting things they’re working on. This process has been so fun that we wanted to open it up to the world in the form of our new podcast called Gradient Dissent. We hope you have as much fun listening to it as we had making it!

    👩🏼‍🚀Weights and Biases:
    We’re always free for academics and open source projects. Email carey@wandb.com with any questions or feature suggestions.

    - Blog: https://www.wandb.com/articles
    - Gallery: See what you can create with W&B - https://app.wandb.ai/gallery
    - Continue the conversation on our slack community - http://bit.ly/wandb-forum

    🎙Host: Lukas Biewald - https://twitter.com/l2k
    👩🏼‍💻Producer: Lavanya Shukla - https://twitter.com/lavanyaai
    📹Editor: Cayla Sharp - http://caylasharp.com/

    • 36 min
    Evolution of Reinforcement Learning and the Robot Hand

    Evolution of Reinforcement Learning and the Robot Hand

    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 challenges associated with building a robotic hand that can solve a rubix cube.

    Read some of Peter’s Articles:
    https://openai.com/blog/authors/peter/

    Follow Peter on Twitter:
    https://twitter.com/npew

    Check out our podcasts homepage for transcripts and more episodes!
    www.wandb.com/podcast

    🔊 Get our podcast on Apple, and Spotify!
    Apple Podcasts: https://bit.ly/2WdrUvI
    Spotify: https://bit.ly/2SqtadF

    We started Weights and Biases to build tools for Machine Learning practitioners because we care a lot 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 these building tools has been the conversations with these ML practitioners and learning about the interesting things they’re working on. This process has been so fun that we wanted to open it up to the world in the form of our new podcast. We hope you have as much fun listening to it as we had making it.

    👩🏼‍🚀Weights and Biases:
    We’re always free for academics and open source projects. Email carey@wandb.com with any questions or feature suggestions.

    - Blog: https://www.wandb.com/articles
    - Gallery: See what you can create with W&B - https://app.wandb.ai/gallery
    - Continue the conversation on our slack community - http://bit.ly/wandb-forum

    🎙Host: Lukas Biewald - https://twitter.com/l2k
    👩🏼‍💻Producer: Lavanya Shukla - https://twitter.com/lavanyaai
    📹Editor: Cayla Sharp - http://caylasharp.com/

    • 54 min
    Machine learning across industries with Vicki Boykis

    Machine learning across industries with Vicki Boykis

    👩‍💻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.com
    On twitter: https://twitter.com/vboykis
    and subscribe to her newsletter: vicki.substack.com

    Check out our podcasts homepage for transcripts and more episodes!
    www.wandb.com/podcast

    🔊 Get our podcast on Apple and Spotify!
    Apple Podcasts: https://bit.ly/2WdrUvI
    Spotify: https://bit.ly/2SqtadF

    We started Weights and Biases to build tools for Machine Learning practitioners because we care a lot 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 these building tools has been the conversations with these ML practitioners and learning about the interesting things they’re working on. This process has been so fun that we wanted to open it up to the world in the form of our new podcast. We hope you have as much fun listening to it as we had making it.

    👩🏼‍🚀Weights and Biases:
    We’re always free for academics and open source projects. Email carey@wandb.com with any questions or feature suggestions.

    - Blog: https://www.wandb.com/articles
    - Gallery: See what you can create with W&B - https://app.wandb.ai/gallery
    - Continue the conversation on our slack community - http://bit.ly/wandb-forum

    🎙Host: Lukas Biewald - https://twitter.com/l2k
    👩🏼‍💻Producer: Lavanya Shukla - https://twitter.com/lavanyaai
    📹Editor: Cayla Sharp - http://caylasharp.com/

    • 34 min
    Designing ML models for millions of consumer robots - Angela Bassa And Danielle Dean

    Designing ML models for millions of consumer robots - Angela Bassa And Danielle Dean

    👩‍💻👩‍💻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 heads Data Science and Machine Learning at iRobot, where her teams help bring intelligence to a global fleet of millions of consumer robots. She is also a renowned keynote speaker and author, with credits including the Wall Street Journal and Harvard Business Review.
    Follow Angela on twitter: https://twitter.com/angebassa
    And on her website: https://www.angelabassa.com/

    Danielle Dean, PhD is the Technical Director of Machine Learning at iRobot where she is helping lead the intelligence revolution for robots. She leads a team that leverages machine learning, reinforcement learning, and software engineering to build algorithms that will result in massive improvements in our robots. Before iRobot, Danielle was a Principal Data Scientist Lead at Microsoft Corp. in AzureCAT Engineering within the Cloud AI Platform division.
    Follow Danielle on Twitter: https://twitter.com/danielleodean

    Check out our podcasts homepage for transcripts and more episodes!
    www.wandb.com/podcast

    🔊 Get our podcast on Apple and Spotify!
    Apple Podcasts: https://bit.ly/2WdrUvI
    Spotify: https://bit.ly/2SqtadF

    We started Weights and Biases to build tools for Machine Learning practitioners because we care a lot 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 these building tools has been the conversations with these ML practitioners and learning about the interesting things they’re working on. This process has been so fun that we wanted to open it up to the world in the form of our new podcast. We hope you have as much fun listening to it as we had making it.

    👩🏼‍🚀Weights and Biases:
    We’re always free for academics and open source projects. Email carey@wandb.com with any questions or feature suggestions.

    - Blog: https://www.wandb.com/articles
    - Gallery: See what you can create with W&B - https://app.wandb.ai/gallery
    - Continue the conversation on our slack community - http://bit.ly/wandb-forum

    🎙Host: Lukas Biewald - https://twitter.com/l2k
    👩🏼‍💻Producer: Lavanya Shukla - https://twitter.com/lavanyaai
    📹Editor: Cayla Sharp - http://caylasharp.com/

    • 52 min

Customer Reviews

5.0 out of 5
10 Ratings

10 Ratings

LindsBR ,

Great podcast on machine learning

Awesome podcast! The presenters ask really insightful questions. The discussions are very accessible, and explore how machine learning is contributing to commercial industries and guiding product development. I also like the focus on ML product and systems integration and how challenges in production are tackled.

Also, Weights and Biases is an awesome, robust tool for seamless experiment tracking and reporting!

Kaila Wallace ,

Insightful Conversations on ML and AI

Loving this podcast so far! The conversations are interesting and accessible to people of varying depths of knowledge with AI. It's been a great way to get a deeper understanding of how people thing about machine learning in the real world!

Careigh Woods ,

Great look behind the scenes

Thoughtful interviews with interesting machine learning practitioners. I’m looking forward to the next episode!

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