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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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526 - Unsupervised Learning, Recommenders, Reinforcement Learning 的 550 个评论（共 808 个）

创建者 Ernesto J O M

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Jan 8, 2025

Nice content and practice

创建者 Jayesh I

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Aug 12, 2024

Great course for Learning

创建者 Feroz K

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Jul 16, 2024

a very informative course

创建者 Srinivas K B

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Oct 25, 2022

Nicely taught! Thank you

创建者 Gardila A

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Sep 17, 2025

Un excelente aprendizaje

创建者 Anas 2

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Jun 7, 2025

It is an amazing course.

创建者 Maximilian S

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Sep 21, 2024

Very motivating lecturer

创建者 Jonathan P O

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Jun 21, 2024

It´s a completely course

创建者 Papa M N

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Mar 6, 2025

Really really intertind

创建者 Julien F

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Jul 12, 2024

Andrew, you're the best

创建者 Cao T M Q

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May 30, 2024

This course is awesome!

创建者 Damilola A

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May 24, 2025

Andrew Ng is the best!

创建者 刘士毅

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Mar 6, 2025

非常棒的课程，帮助我建立机器学习的概念的方法

创建者 Dev C

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Apr 5, 2024

Best for the beginners

创建者 Anuj S

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Nov 14, 2023

most help for learning

创建者 Schroch

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Jul 19, 2023

Very intuitive course!

创建者 Zakaria E J

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Jan 5, 2023

Absolutely astonishing

创建者 PHAM C B

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Sep 2, 2024

an awesome experience

创建者 Chitra M G 2

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Sep 2, 2024

encourageable classes

创建者 Surendhran P

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Aug 22, 2024

It is a great course.

创建者 Chris O

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Nov 20, 2023

beautiful and concise

创建者 Satish P

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Jul 27, 2023

Thank you, Andrew NG.

创建者 Vishal V

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Apr 7, 2023

Good level of coding.

创建者 Arti P M

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Sep 29, 2022

such a greate course

创建者 Dheeraj S

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May 15, 2025

VERY GOOD EXPERIENCE