Chip Huyen — ML Research and Production Pipelines

Chip Huyen — ML Research and Production Pipelines

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 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/

Jaksot(134)

Emily M. Bender — Language Models and Linguistics

Emily M. Bender — Language Models and Linguistics

In this episode, Emily and Lukas dive into the problems with bigger and bigger language models, the difference between form and meaning, the limits of benchmarks, and why it's important to name the la...

9 Syys 20211h 12min

Jeff Hammerbacher — From data science to biomedicine

Jeff Hammerbacher — From data science to biomedicine

Jeff talks about building Facebook's early data team, founding Cloudera, and transitioning into biomedicine with Hammer Lab and Related Sciences.(Read more: http://wandb.me/gd-jeff-hammerbacher)---Jef...

26 Elo 202156min

Josh Bloom — The Link Between Astronomy and ML

Josh Bloom — The Link Between Astronomy and ML

Josh explains how astronomy and machine learning have informed each other, their current limitations, and where their intersection goes from here. (Read more: http://wandb.me/gd-josh-bloom)---Josh is ...

20 Elo 20211h 8min

Xavier Amatriain — Building AI-powered Primary Care

Xavier Amatriain — Building AI-powered Primary Care

Xavier shares his experience deploying healthcare models, augmenting primary care with AI, the challenges of "ground truth" in medicine, and robustness in ML. --- Xavier Amatriain is co-founder and ...

30 Heinä 202150min

Spence Green — Enterprise-scale Machine Translation

Spence Green — Enterprise-scale Machine Translation

Spence shares his experience creating a product around human-in-the-loop machine translation, and explains how machine translation has evolved over the years. --- Spence Green is co-founder and CEO ...

16 Heinä 202143min

Roger & DJ — The Rise of Big Data and CA's COVID-19 Response

Roger & DJ — The Rise of Big Data and CA's COVID-19 Response

Roger and DJ share some of the history behind data science as we know it today, and reflect on their experiences working on California's COVID-19 response. --- Roger Magoulas is Senior Director of D...

8 Heinä 20211h 4min

Amelia & Filip — How Pandora Deploys ML Models into Production

Amelia & Filip — How Pandora Deploys ML Models into Production

Amelia and Filip give insights into the recommender systems powering Pandora, from developing models to balancing effectiveness and efficiency in production. --- Amelia Nybakke is a Software Enginee...

1 Heinä 202140min

Luis Ceze — Accelerating Machine Learning Systems

Luis Ceze — Accelerating Machine Learning Systems

From Apache TVM to OctoML, Luis gives direct insight into the world of ML hardware optimization, and where systems optimization is heading. --- Luis Ceze is co-founder and CEO of OctoML, co-author o...

24 Kesä 202148min

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