Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)

Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)

Andrew Ng: Opportunities in AI - 2023

Stanford CS229: Machine Learning - Linear Regression and Gradient Descent | Lecture 2 (Autumn 2018)

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 1 – Introduction and Word Vectors

Stanford CS230: Deep Learning | Autumn 2018 | Lecture 1 - Class Introduction & Logistics, Andrew Ng

Stanford CS25: V2 I Introduction to Transformers w/ Andrej Karpathy

Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 1 - Introduction - Emma Brunskill

Stanford CS224N: NLP with Deep Learning | Winter 2021 | Lecture 1 - Intro & Word Vectors

Overview Artificial Intelligence Course | Stanford CS221: Learn AI (Autumn 2019)

Locally Weighted & Logistic Regression | Stanford CS229: Machine Learning - Lecture 3 (Autumn 2018)

Stanford Engineering Hero Lecture: Morris Chang in conversation with President John L. Hennessy

Jen-Hsun Huang: Stanford student and Entrepreneur, co-founder and CEO of NVIDIA