52 min
Angela & Danielle — Designing ML Models for Millions of Consumer Robots Gradient Dissent: Conversations on AI
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- Technology
👩💻👩💻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/
👩💻👩💻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