糖心vlog官网观看

Chevron Left
Back to Unsupervised Learning, Recommenders, Reinforcement Learning

Learner Reviews & Feedback for Unsupervised Learning, Recommenders, Reinforcement Learning by DeepLearning.AI

4.9
stars
5,158 ratings

About the Course

In the third course of the Machine Learning Specialization, you will: 鈥� Use unsupervised learning techniques for unsupervised learning: including clustering and anomaly detection. 鈥� Build recommender systems with a collaborative filtering approach and a content-based deep learning method. 鈥� 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鈥檚 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鈥檙e looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start....

Top reviews

AS

Jun 2, 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 7, 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!

Filter by:

601 - 625 of 791 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Valentino F

鈥�

Jul 30, 2025

I love Andrew!

By Raj P

鈥�

Mar 29, 2025

Awesome course

By Dimas F

鈥�

Feb 12, 2025

mesmerizing me

By Karim R

鈥�

Feb 5, 2025

AMAZING COURSE

By Luis G L

鈥�

Jan 4, 2025

good course :)

By Francisco J M S

鈥�

Dec 27, 2024

Gracias Andrew

By Ali Q

鈥�

Dec 15, 2024

Magnificently!

By Manish C R

鈥�

Aug 15, 2024

love andrew ng

By Shohin A

鈥�

Jun 1, 2024

Amazing course

By Arkadiusz J

鈥�

Mar 6, 2024

Thank you ! :)

By Ni K P S

鈥�

Oct 16, 2023

Awesome class!

By BIBHUTI B B

鈥�

Jul 16, 2023

Superb Course.

By Dr. M S

鈥�

Aug 20, 2022

Simply awesome

By Alex T

鈥�

Mar 20, 2025

great course!

By Ennouamane K

鈥�

Oct 2, 2024

Great course.

By Zaid S

鈥�

Aug 20, 2024

very goood!!!

By Sabeur M

鈥�

Dec 21, 2023

Great courses

By Daniel C

鈥�

Oct 10, 2023

Very good n.n

By Guntur P B K

鈥�

Sep 20, 2023

Understanding

By Mohamed E m

鈥�

Aug 8, 2023

greet teacher

By Omar A

鈥�

Mar 31, 2023

Thanks Andrew

By Fitrah S

鈥�

Mar 24, 2023

thank you too

By Sam T

鈥�

Feb 26, 2023

Easy and Fun!

By Joshua A

鈥�

Dec 25, 2022

Praise God!!!

By Gerd D B

鈥�

Oct 26, 2022

Awesome guys!