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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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5,563 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

TF

Jul 17, 2023

I hope more and more engineers in Japan take this course.The joy of learning machine learning with the world's top lecturer far outweighs the pain learning the subject in the non-native language.

SA

Sep 22, 2025

Thank you so much this is a great course, and thanks for the financial aid that enabled me to study the course and improve my skills and career. this specialization is so valuable and useful.

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776 - Unsupervised Learning, Recommenders, Reinforcement Learning 的 800 个评论（共 876 个）

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

创建者 DB T

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Sep 24, 2023

Good

创建者 RUSSO F

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Aug 23, 2023

good

创建者 ليان ع ع ا

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Jun 24, 2023

Good

创建者 Wickly G

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Apr 11, 2023

good

创建者 Angger M R

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Apr 8, 2023

good

创建者 Ande R

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Feb 17, 2023

good

创建者 Minakshi

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Nov 18, 2022

bhjn

创建者 Tharun V

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Oct 31, 2022

good

创建者 Jaber

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Sep 11, 2022

<3

创建者 Hani A

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Jan 27, 2026

er

创建者 达奇达奇上校

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Oct 24, 2025

很好

创建者 Ritesh K S

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Nov 21, 2023

NA

创建者 ADITYA C (

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May 8, 2023

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