Andrew Ng

Andrew Ng is Co-founder of Coursera, and an Adjunct Professor of Computer Science at Stanford University. His machine learning course is the MOOC that had led to the founding of Coursera!

In 2011, he led the development of Stanford University’s main MOOC (Massive Open Online Courses) platform and also taught an online Machine Learning class to over 100,000 students, thus helping launch the MOOC movement and also leading to the founding of Coursera.

Ng also works on machine learning, with an emphasis on deep learning. He had founded and led the “Google Brain” project, which developed massive-scale deep learning algorithms. This resulted in the famous “Google cat” result, in which a massive neural network with 1 billion parameters learned from unlabeled YouTube videos to detect cats. Until recently, he led Baidu's ~1300 person AI Group, which developed technologies in deep learning, speech, computer vision, NLP, and other areas.

Sort options

Understanding and Applying Text Embeddings (Coursera)

Apr 29th 2024
Understanding and Applying Text Embeddings (Coursera)
Free Course
Categories
Effort
Languages
The Vertex AI Text-Embeddings API enhances the process of generating text embeddings. These text embeddings, which are numerical representations of text, play a pivotal role in many tasks involving the identification of similar items, like Google searches, online shopping recommendations, and personalized music [...]

Introduction to Machine Learning in Production (Coursera)

Apr 29th 2024
Introduction to Machine Learning in Production (Coursera)
Course Auditing
Categories
Effort
Languages
In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype the [...]
Apr 29th 2024
Course Auditing
42.00 EUR/month

Sequence Models (Coursera)

This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications in speech recognition, music synthesis, chatbots, machine translation, natural language [...]

Structuring Machine Learning Projects (Coursera)

You will learn how to build a successful machine learning project. If you aspire to be a technical leader in AI, and know how to set direction for your team's work, this course will show you how. Much of this content has never been taught elsewhere, and is drawn [...]

Neural Networks and Deep Learning (Coursera)

If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" that will let you build AI systems that just [...]

Generative AI for Everyone (Coursera)

Apr 23rd 2024
Generative AI for Everyone (Coursera)
Course Auditing
Categories
Effort
Languages
Instructed by AI pioneer Andrew Ng, Generative AI for Everyone offers his unique perspective on empowering you and your work with generative AI. Andrew will guide you through how generative AI works and what it can (and can’t) do. It includes hands-on exercises where you'll learn to use generative [...]

Unsupervised Learning, Recommenders, Reinforcement Learning (Coursera)

Apr 22nd 2024
Unsupervised Learning, Recommenders, Reinforcement Learning (Coursera)
Course Auditing
Categories
Effort
Languages
In the third course of the Machine Learning Specialization, you will: Use unsupervised learning techniques for unsupervised learning: including clustering and anomaly detection; Build recommender systems with a collaborative filtering approach and a content-based deep learning method; Build a deep reinforcement learning [...]

Supervised Machine Learning: Regression and Classification (Coursera)

Apr 22nd 2024
Supervised Machine Learning: Regression and Classification (Coursera)
Course Auditing
Categories
Effort
Languages
In the first course of the Machine Learning Specialization, you will: build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn; build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic [...]

Advanced Learning Algorithms (Coursera)

Apr 22nd 2024
Advanced Learning Algorithms (Coursera)
Course Auditing
Categories
Effort
Languages
In the second course of the Machine Learning Specialization, you will: build and train a neural network with TensorFlow to perform multi-class classification; apply best practices for machine learning development so that your models generalize to data and tasks in the real world; build and use decision trees and [...]