More than 100 years ago, electricity changed everything. Now the same thing is about to happen with artificial intelligence. Watch Andrew Ng’s full talk from the Stanford MSx Future Forum: http://stanford.io/2pzQM2z | Stanford Graduate School of Business
1:53
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More than 100 years ago, electricity changed everything. Now the same thing is about to happen with artificial intelligence. Watch Andrew Ng’s full talk from the Stanford MSx Future
Stanford Graduate School of Business. . More than 100 years ago, electricity changed everything. Now the same thing is about to happen with artificial intelligence. Watch Andrew Ng’s full talk from the Stanford MSx Future Forum: http://stanford.io/2pzQM2z
105.2K viewsApr 26, 2017
Andrew Ng Machine Learning Course
Introduction to Machine Learning | ML-005 Lecture 1 | Stanford University | Andrew Ng
40:51
Introduction to Machine Learning | ML-005 Lecture 1 | Stanford University | Andrew Ng
YouTubeMachine Learning and AI
18.7K viewsAug 2, 2017
Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)
Stanford CS229: Machine Learning Course, Lecture 1 - Andrew Ng (Autumn 2018)
linkedin.com
5 months ago
Andrew Ng s Machine Learning Course Fundamentals | Avichal Sharma posted on the topic | LinkedIn
Andrew Ng s Machine Learning Course Fundamentals | Avichal Sharma posted on the topic | LinkedIn
linkedin.com
1.9K views4 months ago
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World needs more skilled people, as AI will create more jobs, says Google Brain founder Andrew Ng
World needs more skilled people, as AI will create more jobs, says Google Brain founder Andrew Ng
digit.in
4 months ago
New short course: Evaluating AI Agents! Evals are important for driving AI system improvements, and in this course you'll learn to systematically assess and improve an AI agent’s performance. This is built in partnership with Arize AI and taught by John Gilhuly, Head of Developer Relations, and Aman Khan, Director of Product. I've often found evals to be a critical tool in the agent development process - they can be the difference between picking the right thing to work on vs. wasting weeks of e
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New short course: Evaluating AI Agents! Evals are important for driving AI system improvements, and in this course you'll learn to systematically assess and improve an AI agent’s performance. This is built in partnership with Arize AI and taught by John Gilhuly, Head of Developer Relations, and Aman Khan, Director of Product. I've often found evals to be a critical tool in the agent development process - they can be the difference between picking the right thing to work on vs. wasting weeks of e
FacebookAndrew Ng
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Had an insightful conversation with @geoffreyhinton about AI and catastrophic risks. Two thoughts we want to share: - It's important that AI scientists reach consensus on risks-similar to climate scientists, who have rough consensus on climate change-to shape good policy. - Do AI models understand the world? We think they do. If we list out and develop a shared view on key technical questions like this, it will help move us toward consensus on risks. I learned a lot speaking with Geoff. Let’s al
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Had an insightful conversation with @geoffreyhinton about AI and catastrophic risks. Two thoughts we want to share: - It's important that AI scientists reach consensus on risks-similar to climate scientists, who have rough consensus on climate change-to shape good policy. - Do AI models understand the world? We think they do. If we list out and develop a shared view on key technical questions like this, it will help move us toward consensus on risks. I learned a lot speaking with Geoff. Let’s al
FacebookAndrew Ng
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Andrew Ng Deep Learning Course
Stanford CS230: Deep Learning | Autumn 2018 | Lecture 1 - Class Introduction & Logistics, Andrew Ng
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Stanford CS230: Deep Learning | Autumn 2018 | Lecture 1 - Class Introduction & Logistics, Andrew Ng
YouTubeStanford Online
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Ultimate Deep Learning Course for Beginners By Andrew NG (Neural Networks, Backpropagation)
Ultimate Deep Learning Course for Beginners By Andrew NG (Neural Networks, Backpropagation)
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Master Deep Learning Fundamentals with Andrew Ng on Coursera
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Master Deep Learning Fundamentals with Andrew Ng on Coursera
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World needs more skilled people, as AI will create more jobs, says Google Brain founder Andrew Ng
World needs more skilled people, as AI will create more jobs, says Google Brain founder Andrew Ng
4 months ago
digit.in
New short course: Evaluating AI Agents! Evals are important for driving AI system improvements, and in this course you'll learn to systematically assess and improve an AI agent’s performance. This is built in partnership with Arize AI and taught by John Gilhuly, Head of Developer Relations, and Aman Khan, Director of Product. I've often found evals to be a critical tool in the agent development process - they can be the difference between picking the right thing to work on vs. wasting weeks of e
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New short course: Evaluating AI Agents! Evals are important for driving AI system improvements, and in this course you'll learn to systematically assess and improve an AI agent’s performance. This is built in partnership with Arize AI and taught by John Gilhuly, Head of Developer Relations, and Aman Khan, Director of Product. I've often found evals to be a critical tool in the agent development process - they can be the difference between picking the right thing to work on vs. wasting weeks of e
8.3K viewsFeb 19, 2025
FacebookAndrew Ng
Had an insightful conversation with @geoffreyhinton about AI and catastrophic risks. Two thoughts we want to share: - It's important that AI scientists reach consensus on risks-similar to climate scientists, who have rough consensus on climate change-to shape good policy. - Do AI models understand the world? We think they do. If we list out and develop a shared view on key technical questions like this, it will help move us toward consensus on risks. I learned a lot speaking with Geoff. Let’s al
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Had an insightful conversation with @geoffreyhinton about AI and catastrophic risks. Two thoughts we want to share: - It's important that AI scientists reach consensus on risks-similar to climate scientists, who have rough consensus on climate change-to shape good policy. - Do AI models understand the world? We think they do. If we list out and develop a shared view on key technical questions like this, it will help move us toward consensus on risks. I learned a lot speaking with Geoff. Let’s al
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FacebookAndrew Ng
New short course on Reinforcement Learning from Human Feedback! RLHF is one of the key techniques that led to the rise of modern LLMs. It is used to align LLMs with human preferences, to make them more honest, helpful and harmless, by (i) learning a reward function that mimics human preferences, as expressed in human-provided labels, then, (ii) tuning an LLM to generate outputs that receive a high reward. In this short course, taught by Nikita Namjoshi, Developer Advocate for GenAI at Google Clo
3:27
New short course on Reinforcement Learning from Human Feedback! RLHF is one of the key techniques that led to the rise of modern LLMs. It is used to align LLMs with human preferences, to make them more honest, helpful and harmless, by (i) learning a reward function that mimics human preferences, as expressed in human-provided labels, then, (ii) tuning an LLM to generate outputs that receive a high reward. In this short course, taught by Nikita Namjoshi, Developer Advocate for GenAI at Google Clo
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FacebookAndrew Ng
New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs acce
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New course: MCP: Build Rich-Context AI Apps with Anthropic. Learn to build AI apps that access tools, data, and prompts using the Model Context Protocol in this short course, created in partnership with Anthropic Anthropic and taught by Elie Schoppik, its Head of Technical Education. Connecting AI applications to external systems that bring rich context to LLM-based applications has often meant writing custom integrations for each use case. MCP is an open protocol that standardizes how LLMs acce
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FacebookAndrew Ng
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 behind the attention mechanism, and see how to code it in PyTorch. This course is built with Josh Starmer, Founder and CEO of StatQuest. The attention mechanism was a breakthrough that led to transformers, the architecture powering large language models like ChatGPT. Transformers, introduced in the 2017 pa
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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 behind the attention mechanism, and see how to code it in PyTorch. This course is built with Josh Starmer, Founder and CEO of StatQuest. The attention mechanism was a breakthrough that led to transformers, the architecture powering large language models like ChatGPT. Transformers, introduced in the 2017 pa
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FacebookAndrew Ng
Generative AI for Everyone: A Free Course from AI Pioneer Andrew Ng
Generative AI for Everyone: A Free Course from AI Pioneer Andrew Ng
Nov 29, 2023
openculture.com
Andrew Ng In Conversation with Toby Walsh
Feb 22, 2024
unsw.edu.au
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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
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FacebookAndrew Ng
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Important new course: Agent Skills with Anthropic, built with Anthropic and taught by Elie Schoppik! Skills are constructed as folders of instructions that equip agents with on-demand knowledge and workflows. This short course teaches you how to create them following best practices. Because skills follow an open standard format, you can build them once and deploy across any skills-compatible agent, like Claude Code. What you'll learn: - Create custom skills for code generation and review, data a
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FacebookAndrew Ng
Andrew Ng: A Look At AI Agentic Workflows And Their Potential For Driving AI Progress
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If you’ve never written code before, this is for you. I’ve just launched a course that shows you, in less than 30 minutes, how to describe an idea for an app and build it with AI. In this course, you'll build a working web application - a funny interactive birthday message generator that runs in your browser and can be shared with friends. You'll customize it by telling AI how you want it changed, and tweak it until it works the way you want. By the end, you'll have a repeatable process you can
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FacebookAndrew Ng
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Build better RAG by letting a team of agents extract and connect your reference materials into a knowledge graph. Our new short course, “Agentic Knowledge Graph Construction,” taught by Neo4j Innovation Lead Andreas Kollegger, shows you how. Knowledge graphs are an important way to store information accurately but they are a lot of work to build manually. In this course you’ll learn how to build a team of agents that turn data– in this case product reviews and invoices from suppliers–into struct
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Andrew Ng on Building a Career in Machine Learning
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New short course: Event-Driven Agentic Document Workflows. Event-driven workflows are a key design pattern in which many pieces of work (LLM calls, tool use, etc.) can be carried out asynchronously and in parallel, and completion of specific steps generate events that trigger other work to begin. In this course, created in partnership with LlamaIndex and Laurie Voss, VP of Developer Relations, you'll learn to apply this technique to document workflows. Filling out complex forms can be tedious, t
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Learn to build and deploy GenAI pipelines in "Orchestrating Workflows for GenAI Applications", built in partnership with Astronomer and taught by Kenten Danas, the company's DevRel Senior Manager, and Tamara Fingerlin, developer advocate. Many GenAI applications require executing a pipeline comprising many steps. For example, a RAG app for recommending books might ingest and embed book descriptions, store the embeddings in a vector database, and later use the database to retrieve and recommend s
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Andrew Ng says the real bottleneck in AI startups isn't coding — it's product management
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