Gradient Dissent: Conversations on AI

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 and traveled the world.

Chip graduated from Stanford, where she created and taught the course on TensorFlow for Deep Learning Research.

Check out Chip's recent article on ML Tools: https://huyenchip.com/2020/06/22/mlops.html

Follow Chip on Twitter: https://twitter.com/chipro

And on her Website: https://huyenchip.com/

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 [email protected] 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/

👨🏻‍💻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 to know about product management for AI

https://www.oreilly.com/radar/what-you-need-to-know-about-product-management-for-ai/

Follow Peter on Twitter:

https://twitter.com/peteskomoroch

And read some of his other work:

Pangloss: Fast Entity Linking in Noisy Text Environments

Large-Scale Hierarchical Topic Models

Visit our podcasts homepage for transcripts and more episodes!

www.wandb.com/podcast

🔊 Get our podcast on Soundcloud, Apple, and Spotify!

YouTube: https://bit.ly/32NzZvI

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 [email protected] 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/

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 [email protected] 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/

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 [email protected] 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/

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 [email protected] 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/

👩‍💻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 [email protected] 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/

👩‍💻👩‍💻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 [email protected] 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/

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 [email protected] 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/

🏅 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 [email protected] 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/