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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.

筛选依据：

576 - Unsupervised Learning, Recommenders, Reinforcement Learning 的 600 个评论（共 864 个）

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

创建者 Douglas B

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Apr 7, 2025

I loved this course!

创建者 Naireet S

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Aug 20, 2024

Excellent experience

创建者 Carlos

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May 21, 2024

exceptional teaching

创建者 Min T T

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Aug 25, 2023

highly rerecommended

创建者 邱少麒

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Jun 11, 2023

good，helpful，useful。

创建者 abhinav r

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Jan 10, 2023

Very well explained.

创建者 Pat R

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Dec 9, 2022

Good starter classes

创建者 Muhammad N

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Aug 15, 2022

andrew ng is awesome

创建者 Mahmood Q

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Nov 2, 2025

Absolutely amazing!

创建者 Farrel H

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Mar 20, 2025

great way to learn!

创建者 Girish G

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Feb 24, 2025

Very well explained

创建者 Junling W

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Nov 14, 2024

Andrew is the best!

创建者 Thảo N

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Feb 4, 2024

it's a great course