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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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5,225 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

AS

Jun 1, 2025

this was a very good course for build a very strong foundation of machine learnignn and many advance this were also taught, with a whole lot of guidence on every step. really appricated thsi course .

AS

Oct 9, 2024

This is a good beginner course . I have been reading around topics and when you jumble around it is hard to follow. This course structure was what i was looking for. i would recommend this to others

筛选依据：

251 - Unsupervised Learning, Recommenders, Reinforcement Learning 的 275 个评论（共 805 个）

创建者 Yerunkar R R

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Oct 21, 2022

The one and only course needed to the beginners to dive deep and gain knowledge in the field of Machine Learning.

创建者 Marko N

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Aug 8, 2023

Good course that offers a good starting point for unsupervised learning, recommenders and reinforcement learning.

创建者 Mark R

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Jun 4, 2024

Great learning experience! The instructor did an excellent job making complex topics understandable. Five stars!

创建者 C K

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May 15, 2023

Thank You very much for courses , Coursera and Sir Andrew for giving beautiful content in detailed way possible

创建者 Hamad U R Q

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Nov 15, 2022

Amazing course, awesome instructor.

Just a capstone project is missing. But highly recommended for ML learners.

创建者 Vaibhav B

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May 1, 2024

Incredible for begineer but my advice is to focus on doing things own your own after learning the theory part

创建者 Fabrice B

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Aug 10, 2025

Clear introduction to a lot of unsupervised learning subject, as a beginner I found that very interesting...

创建者 darius t

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Jan 11, 2024

Challenging course giving a great overview as well as a deep dive into the fundamentals of machine learning

创建者 Kerstin D

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Apr 10, 2023

Fantastic course! Very well thought out and super valuable. The lectures are excellent and so are the labs!

创建者 Arushi G

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May 21, 2023

Excellent course gave me a good grasp on the topic and interested me more to learn about machine learning.

创建者 Krishalika R

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Sep 16, 2022

A good course. As a beginner to ML, this was very helpful for me to understand machine learning concepts,

创建者 Lathika D

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Aug 14, 2025

This course gave me clear and easy-to-understand knowledge of both the theoretical and practical aspects.

创建者 Someshwar V P m

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Feb 4, 2025

A very good course for beginners. Andrew Ng sir explained very well. I made the full use of this course..

创建者 K M

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Oct 3, 2024

Absolutely must-go material. (You need to find exercises on your own as it doesn't have many assignments)

创建者 Rashmi M

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Mar 7, 2024

This course series is very helpful for those who are interested in ML & AI field to get domain knowledge.

创建者 Andy W

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Nov 19, 2023

Excellent lectures and hands-on lab assignments. I felt engaged from the start to the end of the course.

创建者 Arvydas Ž

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Dec 23, 2022

Recommenders is not a very often taught technique but I think is the most compelling part of this course.

创建者 Bruno R S

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Jul 30, 2022

Very few courses explore the insides of Unsupervised Learning and Reinforcement learning like this one.

创建者 Tianyue P

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Jun 12, 2023

Great course, great explanation on what unsupervised learning, recommenders, reinforcement learning is.

创建者 Kush M

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Mar 19, 2023

An excellent course and specialization to start machine learning with! Thank you to Andrew NG and team!

创建者 Enes B

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Nov 29, 2024

I really love this course. Andrew NG taught me a lot of new things. I hope I can be someone like him.

创建者 Waseem K

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Nov 27, 2022

Just as other courses by Andrew Ng, it is another well-structured course. I am grateful to the tutor.

创建者 Namhoang

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Nov 19, 2023

Thank you for making a good course. The concepts are well explained with lab to see how things work.

创建者 Nitin C

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Apr 2, 2023

Andrew is too good at explaining difficult concepts with such ease. I extremely enjoyed the course !

创建者 Chidiebere N

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Oct 13, 2022

I really enjoyed every bit of it and feel like I know the basics of machine learning. Thanks, Andy.