Name: Unsupervised Learning, Recommenders, Reinforcement Learning
Brand: DeepLearning.AI
Availability: OnlineOnly
Rating: 4.9 (863 reviews)

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学生对 DeepLearning.AI 提供的 Unsupervised Learning, Recommenders, Reinforcement Learning 的评价和反馈

4.9

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5,489 个评分

课程概述

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 model. The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. In this beginner-friendly program, you will learn the fundamentals of machine learning and how to use these techniques to build real-world AI applications. This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. This 3-course Specialization is an updated and expanded version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start....

501 - Unsupervised Learning, Recommenders, Reinforcement Learning 的 525 个评论（共 864 个）

创建者 AyFait S

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Aug 23, 2024

Most educative. Thank you Coursera.

创建者 Jihan K

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Mar 26, 2023

informative, and easy to understand

创建者 Reza A

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Oct 18, 2022

It's great course. Thank you Andrew

创建者 Aldo S T V

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Dec 15, 2025

Es un excelente curso, recomendado

创建者 srivatsav k

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Oct 21, 2024

Good for absolute beginners in ML.

创建者 Amos P

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Jan 11, 2025

Well structured and easy to learn

创建者 Wilmer R V

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Apr 19, 2024

Muy bueno, explicativo y práctico

创建者 Sohag H (

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Jan 8, 2024

learn a lot. love from Bangladesh

创建者 Xuesong T

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Jan 7, 2024

very useful course! Thank Andrew!

创建者 Boikhutso M

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Nov 29, 2023

Very well structured intro to ML,

创建者 Jeremy L

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Aug 6, 2022

Amazing course!

I learned a lot!

创建者 Jeremy S

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Oct 16, 2025

Andrew is an incredible teacher!

创建者 Nguyễn N M

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Sep 18, 2025

a very good course for beginners

创建者 Sikiru Y

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Jun 6, 2025

I found it profoundly impactful.

创建者 Mathivathani S

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Apr 25, 2025

Excellent course, Thanks Andrew!

创建者 Jalal U D B

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Jan 22, 2025

best course for machine learning

创建者 Abhay K

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Sep 27, 2023

You are the best teacher so far.

创建者 Justin H

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Mar 11, 2023

Andrew Ng. Enuff said. 👍👍👍

创建者 Joshua M

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May 29, 2025

Great Course. Sign up. Learn.

创建者 Jorge A N

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Nov 16, 2024

Exceptional course. Very clear.

创建者 G L

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May 4, 2024

I enjoyed taking this course :)

创建者 Rolando R Z C

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Apr 25, 2024

Very carefully designed course.

创建者 Mirro S

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Feb 23, 2024

nothing but absolutely AMAZING!

创建者 Arjun V

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Dec 23, 2023

Learn many things, Thanks a lot

创建者 Muhammad F R

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May 29, 2023

This course was really helpful.

学生对 DeepLearning.AI 提供的 Unsupervised Learning, Recommenders, Reinforcement Learning 的评价和反馈

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501 - Unsupervised Learning, Recommenders, Reinforcement Learning 的 525 个评论（共 864 个）