Sayak Paul - Getting started with community contributions, diffusion models, and more
About this episode
Meet Sayak Paul, a Machine Learning Engineer specializing in diffusion models at Hugging Face and GDE for ML and Google Cloud. He shares how his community contributions led him towards getting his current dream job at Hugging Face. Join Ashley, Gus, and Sayak for a chat about resources for developers to get into machine learning, how diffusion models have exploded in the past year, the role of responsible AI and much more.
Resources mentioned:
Google Developer Expert Program → https://goo.gle/3S6IVGo
TF Hub → https://goo.gle/3S5t9LY
Hugging Face →https://goo.gle/45KyBXC
Sayak bio and website → https://goo.gle/3Mas9Cv
Sayak's Twitter → https://goo.gle/3QtxEO7
Courses:
Google Summer of Code→ https://goo.gle/3Fv2CA4
fast.ai course → https://goo.gle/45HRLxp
Coursera Deep Learning specialization → https://goo.gle/3S8Kljx CS 231N - Stanford → https://goo.gle/3QvIt3o
Books:
Pattern Recognition and Machine Learning (Information Science and Statistics) by Christopher M. Bishop (Author) → https://goo.gle/493iJm3
Grokking Deep Learning First Edition, by Andrew Trask (Author) → https://goo.gle/40fNX5y
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