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

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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....

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

创建者 vinod t

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Aug 26, 2022

good.

创建者 P S R (

•

Feb 15, 2026

good

创建者 Dhruv A

•

Aug 15, 2024

nil

创建者 Yesid J

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Jul 27, 2024

Mucha teoría, poca práctica.

创建者 Sumit S

•

Nov 14, 2022

good experience

创建者 Govind U

•

Jan 29, 2026

创建者 Lior G

•

Dec 28, 2024

i had a lot of problems in the grading even when i was right

创建者 Abdulla A

•

Oct 9, 2025

Lab

创建者 Dawood F

•

Feb 25, 2026

course was overall good, but in week 2 practice lab 2 i was unable to clear that for unkown reason by mistake i deleted a cell and i was unable to reset that practice lab. because of that my course remained 95% complete making me unbale to collect the certificate.