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
4,599 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

Oct 10, 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

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:

526 - 550 of 709 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Renan d B L

鈥�

Jun 28, 2024

Amazing course!

By Jose C

鈥�

Apr 4, 2024

Excelent course

By Roman M

鈥�

Mar 7, 2024

Highly valuable

By Syed A M

鈥�

Feb 6, 2024

Amazing course!

By khashayar m

鈥�

Jan 27, 2024

Greattttttt!!!!

By ali o

鈥�

Oct 26, 2023

beautiful cours

By Dr_stoned_420

鈥�

Aug 13, 2023

Fabulous course

By Abhay K

鈥�

Feb 14, 2023

Amazing course.

By Rishi M

鈥�

Feb 1, 2023

Great Course!!!

By Francis K

鈥�

Oct 2, 2022

very educative

By Anne P

鈥�

Sep 30, 2022

Super didatic!!

By Sandeep M

鈥�

Aug 25, 2022

Awesome course.

By Jan S

鈥�

Aug 8, 2022

Best out there!

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