5 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, 9 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!

    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
    Building trustworthy AI systems and combating potential malicious use – A conversation w/ Jack Clark

    Building trustworthy AI systems and combating potential malicious use – A conversation w/ Jack Clark

    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
    Follow Jack Clark on Twitter: twitter.com/jackclarkSF
    Read more posts by Jack on his website: https://jack-clark.net/

    Get our podcast on Apple and Spotify!
    https://podcasts.apple.com/us/podcast/gradient-dissent-weights-biases/id1504567418
    https://open.spotify.com/show/7o9r3fFig3MhTJwehXDbXm

    🤖Gradient Dissent by Weights and Biases
    Get a behind-the-scenes look at how industry leaders are using machine learning in the real world. While building experiment tracking tools, we’ve had the opportunity to learn about how different teams are building and deploying models. In this podcast, we share some of the insights and stories we’ve heard along the way. Follow Gradient Dissent for weekly machine learning updates, and be part of the conversation.

    👩🏼‍🚀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/

    • 55 min
    Rachael Tatman - Conversational AI and Linguistics

    Rachael Tatman - Conversational AI and Linguistics

    🏅 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 researched computational sociolinguistics, or how our social identity affects the way we use language in computational contexts. Previously she was a data scientist at Kaggle where she’s still a Grandmaster.

    💻Keep up with Rachael on her website: http://www.rctatman.com/
    🐦Follow Rachael on twitter: https://twitter.com/rctatman

    Get our podcast on Apple and Spotify!
    https://podcasts.apple.com/us/podcast/gradient-dissent-weights-biases/id1504567418
    https://open.spotify.com/show/7o9r3fFig3MhTJwehXDbXm

    🤖Gradient Dissent by Weights and Biases
    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/

    • 36 min
    Nicolas Koumchatzky - Machine Learning in Production for Self Driving Cars

    Nicolas Koumchatzky - Machine Learning in Production for Self Driving Cars

    👨🏻‍💻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 joined Madbits, a startup specialized on using deep learning for content understanding. When Madbits was acquired by Twitter in 2014, he joined as a deep learning expert and led a few projects in Cortex, include a real-time live video classification product for Periscope. In 2016, he focused on building an scalable AI platform for the company. Early 2017, he became the lead for the Cortex team. He joined NVIDIA in 2018.
    🐦Follow Nicolas on twitter: https://twitter.com/nkoumchatzky
    🛠Maglev: https://blogs.nvidia.com/blog/2018/09/13/how-maglev-speeds-autonomous-vehicles-to-superhuman-levels-of-safety/
    ✍️Scalable Active Learning for Autonomous Driving: https://medium.com/nvidia-ai/scalable-active-learning-for-autonomous-driving-a-practical-implementation-and-a-b-test-4d315ed04b5f
    ✍️Active Learning – Finding the right self-driving training data doesn’t have to take a swarm of human labelers: https://blogs.nvidia.com/blog/2020/01/16/what-is-active-learning/

    👫Continue the conversation on our slack community - http://bit.ly/wandb-forum

    🤖Gradient Dissent by Weights and Biases
    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.
    * Visualize your Scikit model performance with W&B - https://app.wandb.ai/lavanyashukla/visualize-sklearn/reports/Visualizing-Sklearn-With-Weights-and-Biases--Vmlldzo0ODIzNg
    * Blog: https://www.wandb.com/articles
    * Gallery: See what you can create with W&B - https://app.wandb.ai/gallery

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

    • 44 min
    Brandon Rohrer - Machine Learning in Production for Robots

    Brandon Rohrer - Machine Learning in Production for Robots

    👨🏻‍💻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 prosthetic hand in the Empire Strikes Back. He turned this fascination into a PhD from MIT and subsequently found his way to building some incredible data science products at Facebook, Microsoft and now at iRobot.
    ✍️Brandon’s brilliant machine learning course: http://e2eml.school/
    🐦Follow Brandon on twitter: https://twitter.com/_brohrer_

    👫Continue the conversation on our slack community - http://bit.ly/wandb-forum

    🤖Gradient Dissent by Weights and Biases - http://wandb.com

    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.

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

    • Visualize your Scikit model performance with W&B - https://app.wandb.ai/lavanyashukla/visualize-sklearn/reports/Visualizing-Sklearn-With-Weights-and-Biases--Vmlldzo0ODIzNg
    • Blog: https://www.wandb.com/articles
    • Gallery: See what you can create with W&B - https://app.wandb.ai/gallery

    • 34 min

Customer Reviews

5.0 out of 5
9 Ratings

9 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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