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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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5,242 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

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301 - Unsupervised Learning, Recommenders, Reinforcement Learning 的 325 个评论（共 808 个）

创建者 Dominique C

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Apr 4, 2023

great course, Andrew Ng is still very clear and it's a great pleasure to learn with him

创建者 Greg D

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Dec 1, 2022

Required allot of homework to understand the foundations but well worth it in the end !

创建者 Matthew Z

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Nov 11, 2022

Great course! Loved the parts of Recommender Systems and Reinforcement Learning a lot!

创建者 Abhay K

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Sep 25, 2025

Cant't Imagine how easy this gets when you get to learn from a legend like Andrew Ng.

创建者 Siva P N

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Mar 21, 2023

I love the course arrangement and framing of the visual learning for gradient descent

创建者 Ali A M

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Oct 10, 2022

Best course to learn the basics of Unsupervised Learning and Reinforcement Learning.

创建者 Morteza M

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Jan 14, 2025

Amazing course, i just learned all the topics from this course. Thank you Andrew Ng!

创建者 Daniel L

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Apr 19, 2023

helped me grasp concepts in a way I would not have been able to without this course.

创建者 Dominik M

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Jan 10, 2025

Really engaging course with interesting, interactive notebooks to apply the theory.

创建者 Yue W

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May 6, 2024

Andrew is such a brilliant and patient teacher, I want him to make more courses !!!

创建者 Abdul J K

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Oct 1, 2022

Excellent course with a bit more complex techniques compare to supervised learning

创建者 Alexandre R

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Aug 17, 2023

Perfect to sharpen your skills in Machine Learning, Andrew is great as a teacher !

创建者 Onuorah M O

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Nov 11, 2022

A very interesting course to undertake for intending AI and Data science engineers

创建者 Damilare L A

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Jan 17, 2025

This course is awesome and i must say i have achieved a milestone in this course.

创建者 Sal T

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Sep 10, 2024

Stright forward, and very useful content. Fantastic for a practical introduction.

创建者 Michael R

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Oct 31, 2023

One of the warmest and knowledgable instructors I've ever had! May God bless him.

创建者 Dolrie S

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Apr 12, 2023

well spent and a good teacher is not about the material but the way they teach us

创建者 Maurizio A

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Feb 11, 2023

Simply fantastic! Thank you to all professors and authors of this specialization.

创建者 Koustav P

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Sep 14, 2022

Very detailed. Fortunately I work in this domain so found it easier to complete.

创建者 David C

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Apr 11, 2023

Es amigable aunque no se tengan tantos fundamentos de matemáticas o programación

创建者 R.M. R

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Jan 24, 2024

Excellent course to understand maths and science behind Reinforcement Learning.

创建者 Kashif M

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Oct 15, 2023

Great to learn unsupervised learning especially DRL and the mathematics behind!

创建者 Sandile T

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Jul 27, 2023

Learning Reinforcement at a scientific level, coupled with real life projects.

创建者 George H

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Jul 15, 2023

Excellent course. Explanations and examples are didactic. I strongly recommend.

创建者 Tim L

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Jun 24, 2023

The course help me understand unsupervised learning very well. Thank you Andrew