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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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5,340 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 .

SB

Nov 6, 2022

This course is a brief but thorough introduction. It has a good mixture of theory and practice.Andrew Ng explains every thing very good, understandable and in a fun way.I highly recommend this class!

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826 - Unsupervised Learning, Recommenders, Reinforcement Learning 的 839 个评论（共 839 个）

创建者 Haseeb A

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Aug 4, 2025

I enjoyed it a lot

创建者 محمود ف

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Feb 23, 2025

100% practical

创建者 Areeba Z

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Jul 9, 2025

fantastic

创建者 vinod t

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Aug 26, 2022

good.

创建者 Dhruv A

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Aug 15, 2024

nil

创建者 Yesid J

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Jul 27, 2024

Mucha teoría, poca práctica.

创建者 Sumit S

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Nov 14, 2022

good experience

创建者 Lior G

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Dec 28, 2024

i had a lot of problems in the grading even when i was right

创建者 Abdulla A

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Oct 9, 2025

Lab

创建者 Pranav G

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Apr 2, 2023

i didnt get to avail my certificate, though it was showing last submission date as 2nd april, i cant submit on 2nd and couldnt get my certificate

创建者 Sanket P

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Sep 2, 2024

I have enrolled through financial aid but it is asking me to upgrade and pay for it

创建者 Brian

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Jun 10, 2025

Very high level brief overview, uses out-dated TensorFlow, not practical at all.

创建者 Vivian P

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Mar 27, 2024

Class does not exist- the links do not work

创建者 Harsh S

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Jun 21, 2023

good course