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

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5,496 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....

热门审阅

AM

Mar 10, 2024

This course has offered invaluable insights and clarity in understanding machine learning concepts. It was a nice journey towards understanding practical application and complex concepts made easy.

HZ

Jul 21, 2024

Got insights to what Recommender systems are and how it recommends user based on their usage and got to know how Reinforcement learning works and Successfully landed the lunar lander.

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751 - Unsupervised Learning, Recommenders, Reinforcement Learning 的 775 个评论（共 864 个）

创建者 M O

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Dec 4, 2022

great!

创建者 Alfred A

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Oct 30, 2025

Super

创建者 Mete U

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Mar 18, 2025

GREAT

创建者 Mukhammad I K

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Oct 23, 2024

great

创建者 Trisno P R

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Oct 13, 2023

josss

创建者 Nguyễn N Q G

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Mar 10, 2023

well!

创建者 Meryam k

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Mar 5, 2023

top !

创建者 Birhanu G

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Sep 19, 2022

wow!

创建者 Berkmans K

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Feb 27, 2026

good

创建者 Sereyratanak

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Feb 4, 2026

GOOD

创建者 Jabez S

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Oct 12, 2025

best

创建者 Sujair I

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Aug 18, 2025

Good

创建者 FEDI H

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Jul 4, 2025

GOOD

创建者 Gene K

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Feb 27, 2025

浅显易懂

创建者 Chandan S

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Nov 15, 2024

best

创建者 Rain L

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Nov 13, 2024

Good

创建者 Shivanand V

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Oct 23, 2024

Nice

创建者 Ulfah H M

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Oct 22, 2024

good

创建者 Porco J

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Jul 3, 2024

nice

创建者 Nguyen T N

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Apr 12, 2024

Hard

创建者 Md. S A

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Mar 12, 2024

Best

创建者 Naiyan N

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Mar 5, 2024

good

创建者 Ishaan

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Jan 1, 2024

best

创建者 HAYAA T T A

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Dec 1, 2023

روعة

创建者 Dini P U

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Oct 19, 2023

good