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Andrew Ng
Machine Learning
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Andrew Ng
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MIT Machine Learning
Lectures
Stanford CS230 | Autumn 2025 | Lecture 9: Career Advice in AI | Amitej Gajjala
9.1K views
1 month ago
linkedin.com
2:46
Announcing: Agentic Document Extraction! PDF files represent information visually - via layout, charts, graphs, etc. - and are more than just text. Unlike traditional OCR and most PDF-to-text approaches, which focus on extracting the text, an agentic approach lets us break a document down into components and reason about them, resulting in more accurate extraction of the underlying meaning for RAG and other applications. Watch the video for details. | Andrew Ng
43.5K views
Feb 27, 2025
Facebook
Andrew Ng
2:42
New Course: Reinforcement Fine-Tuning LLMs with GRPO! Learn to use reinforcement learning to improve your LLM performance in this short course, built in collaboration with Predibase, and taught by Travis Addair, its Co-Founder and CTO, and Arnav Garg, its Senior Engineer and Machine Learning Lead. Reasoning models have been one of the most important developments in LLMs. Reinforcement Fine-Tuning (RFT) uses rewards to encourage LLMs to find solutions to multi-step reasoning tasks such as solving
38.8K views
May 21, 2025
Facebook
Andrew Ng
Generative AI for Everyone: A Free Course from AI Pioneer Andrew Ng
Nov 29, 2023
openculture.com
2:41
New short course: Attention in Transformers: Concepts and Code in PyTorch.Last week we released a course on how LLM transformers work. This week, go deeper and learn about the technical ideas… | Andrew Ng | 164 comments
164 views
Feb 23, 2025
linkedin.com
1:44:56
This 2 hour Stanford lecture from Andrew Ng will teach you how to build a career in AI.It's more valuable than a $100k degree.Bookmark this & give it 2 hours this weekend. It’ll be the highest ROI thing you do this month.
53.4K views
1 month ago
x.com
Jaynit Makwana
1:45:01
this 2 hour stanford lecture by Andrew Ng will teach you more about ai than everything you’ve scrolled this weeksave it, watch it for 2 hours without distractions.then read the article below.
33.6K views
1 month ago
x.com
CG
Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)
6 months ago
linkedin.com
7:02
C4W3L09 YOLO Algorithm
250.5K views
Nov 7, 2017
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Lecture 3 | Machine Learning (Stanford)
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Lecture 5 | Machine Learning (Stanford)
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Oxford Mathematics
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Stanford CS230: Deep Learning | Autumn 2018 | Lecture 1 - Class Introduction & Logistics, Andrew Ng
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Andrew Ng on Building a Career in Machine Learning
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Master Deep Learning Fundamentals with Andrew Ng on Coursera
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Introduction to Machine Learning | ML-005 Lecture 1 | Stanford University | Andrew Ng
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Lecture 14 - EM Algorithm & Factor Analysis | Stanford CS229: Machine Learning Andrew Ng -Autumn2018
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Lecture 16 - Independent Component Analysis & RL | Stanford CS229: Machine Learning (Autumn 2018)
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Apr 17, 2020
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Andrew Ng: Advice on Getting Started in Deep Learning | AI Podcast Clips
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Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)
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Lecture 10 - Introduction to Neural Networks | Stanford CS229: Machine Learning (Autumn 2018)
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Lecture 5 - GDA & Naive Bayes | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)
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Locally Weighted & Logistic Regression | Stanford CS229: Machine Learning - Lecture 3 (Autumn 2018)
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RL Debugging and Diagnostics | Stanford CS229: Machine Learning Andrew Ng - Lecture 20 (Autumn 2018)
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Stanford Online
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Lecture 12 | Machine Learning (Stanford)
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Jul 23, 2008
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C4W1L01 Computer Vision
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