Youtube上的資料科學課程整理

注意事項:本文目前僅收錄大學或較有知名度的組織的課程,暫不考慮收錄私人頻道的課程。

Fastai

Standford University

Stanford ENGR108: Introduction to Applied Linear Algebra —Vectors, Matrices, and Least Squares - YouTube

Stanford CS109 Introduction to Probability for Computer Scientists I 2022 I Chris Piech - YouTube

Stanford EE364A Convex Optimization I Stephen Boyd I 2023 - YouTube

Stanford EE274 I Data Compression: Theory and Applications I 2023 - YouTube

Stanford EE104: Introduction to Machine Learning Full Course - YouTube

Stanford CS224N: Natural Language Processing with Deep Learning | Winter 2021 - YouTube

Stanford XCS224U: Natural Language Understanding I Spring 2023 - YouTube

Stanford CS221: Artificial Intelligence: Principles and Techniques | Autumn 2021 - YouTube

Stanford CS224W: Machine Learning with Graphs - YouTube

Stanford CS330: Deep Multi-Task and Meta Learning I Autumn 2022 - YouTube

Stanford CS234 I Reinforcement Learning I Spring 2024 I Emma Brunskill - YouTube

Stanford CS236: Deep Generative Models I 2023 I Stefano Ermon - YouTube

Stanford CS149 I Parallel Computing I 2023 I Kayvon Fatahalian and Kunle Olukotun - YouTube

Carnegie Mellon University

UC Berkely

EPFL

DataTalksClub

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