✨'The Best Lecture'✨ on Machine Learning that I have seen up till now Watching the -> Making friends with machine learning serieson youtube @quaesita @googlecloud @GoogleCloudTech @YouTube #lecture #Google #AI #MachineLearning https://t.co/VGuUpgJ1cN — Yagyesh Bobde (@bobde_yagyesh) December 26, 2021

Happy Holidays, friends!🥳 We've made a recap of the most popular courses for you. 1. Deep Learning by @ylecun, @alfcnz2. Linear Algebra @MIT3. Deep Learning for NLP @DeepMind, @CompSciOxford Find links in the thread!1/5 — TheSequence (@TheSequenceAI) December 25, 2021

😁😮😮🎉🎉🎉🥂😅😁 pic.twitter.com/dX1cOYENUh — Data Science Renee (@BecomingDataSci) September 11, 2021

Practical Machine Learning — Practical Machine Learning — Read on c.d2l.ai/stanford-cs329p/

Tesla Dojo has GPU compute, more IO than the highest end networking chips, and flexibility! It uses a novel system on wafer (InFO_SoW) for an order magnitude higher performance vs Nvidia, Graphcore, Cerebras, Groq, Tenstorrent, SambaNova, etc. https://t.co/VJwS3MjNWH

https://atcold.github.io/pytorch-Deep-Learning/?s=09

https://www.kdnuggets.com/2020/02/data-science-curriculum-self-study.html?s=09

https://deeplearning.telecos.upc.edu/courses/aa2?s=09

I'm releasing all the lectures (so far) for my deep learning class, CS182! This is an introductory deep learning course (advanced undergraduate + graduate) covering a broad range of deep learning topics. Website: https://t.co/0PaBOJElo9Playlist: https://t.co/21GvfFRcHo 🧵-> — Sergey Levine (@svlevine) March 13, 2021

Thanks for the feedback, everyone! Below is a slightly extended version based on all the awesome responses I received. Will probably extend it some time with more concrete methods for some of the categories some time later this semester 🙂 pic.twitter.com/p3budoESWB — Sebastian Raschka (@rasbt) March 10, 2021