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Andrew Ng on machine learning

From Lecture 14 - EM Algorithm & Factor Analysis | Stanford CS229: Machine Learning Andrew Ng -Autumn2018 · · Stanford Online

“I think the machine learning world, we are not very good at understanding the scaling. Uh, the best algorithm for one training example, you know, as far as we are able to invent algorithms as a community, is different than best algorithm for 1000, best for, for a million, it's actually different than, um, uh, uh- actually, and Facebook published a paper recently, with 3.5 billion images.”

Andrew Ng
Co-Founder & Chairman, Coursera
machine learningalgorithm scalingdata size

On , Andrew Ng, Co-Founder & Chairman at Coursera, spoke about machine learning during Lecture 14 - EM Algorithm & Factor Analysis | Stanford CS229: Machine Learning Andrew Ng -Autumn2018 on Stanford Online.

Lecture 14 - EM Algorithm & Factor Analysis | Stanford CS229: Machine Learning Andrew Ng -Autumn2018
Watch on YouTube at 38:44
Lecture 14 - EM Algorithm & Factor Analysis | Stanford CS229: Machine Learning Andrew Ng -Autumn2018
Stanford Online
Watch on YouTube at 38:44
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai Andrew Ng Adjunct Professor of Computer Science https://www.andrewng.org/ To follow along with the course schedule and syllabus, visit: http://cs229.stanford.edu/syllabus-au...
Andrew Ng

About Andrew Ng

Co-Founder & Chairman · Coursera

Andrew Ng has been active in releasing new educational content and tools focused on AI-assisted software development. In June 2026, he published a course titled "Build Your Own App In Just 30 Minutes! Full Course with Andrew Ng," which teaches learners with no coding experience to create a web application by describing their idea to an AI system. Ng emphasized that "the easiest way to create software in the AI era is no longer to type out code yourself" and argued that both building and taking courses are important for effective learning. In May 2026, at the AI Dev 26 conference in San Francisco, Ng announced two new tools: Context Hub, designed to provide AI agents with up-to-date documentation to prevent hallucinations and the use of deprecated APIs, and Code Dream, an interactive learning environment featuring AI-driven video conversations and a browser-based terminal. He also released a "Full AI Prompting Course with Andrew Ng" in May 2026, aimed at helping users become "expert prompters" for tasks such as information retrieval, brainstorming, writing, and generating code and images. Ng has also spoken publicly about the evolving role of software engineers and the job market. At AI Dev 26, he stated that AI coding agents have made software development "10 or 100 times faster," shifting the bottleneck from writing code to deciding what to build, and that he does not see an "AI job apocalypse" occurring. At the ASU+GSV Summit in April 2026, Ng noted that software engineering job postings are actually up, and that the skills required are shifting rapidly. He has advised businesses to master prompting before moving to fine-tuning, and to avoid reinforcement learning until they have mastered the earlier techniques. Ng has also highlighted the growing importance of human skills such as critical thinking, citing a 184% year-over-year increase in enrollment in critical thinking courses on Coursera.

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