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Learner Reviews & Feedback for Advanced Learning Algorithms by DeepLearning.AI

4.9
stars
8,403 ratings

About the Course

In the second course of the Machine Learning Specialization, you will: 鈥� Build and train a neural network with TensorFlow to perform multi-class classification 鈥� Apply best practices for machine learning development so that your models generalize to data and tasks in the real world 鈥� Build and use decision trees and tree ensemble methods, including random forests and boosted trees 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 theoretical 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

AA

Dec 30, 2024

The course provides an excellent introduction to widely used machine learning concepts, including Neural Networks. While the material can be challenging, it is presented in a digestible manner.

MN

Jul 30, 2023

Another fantastic course by Andrew Ng! He covers neural networks, decision trees, random forest, and XGBoost models really well. I like that he shares his intuition behind every concept he explains.

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751 - 775 of 1,256 Reviews for Advanced Learning Algorithms

By Kohila B

鈥�

Aug 15, 2025

Excellent explanation by Andrew Ng.

By Tejash T

鈥�

Jun 16, 2025

Very useful and informative for me.

By adrian c

鈥�

Jun 8, 2025

Impressed by how much I've learned!

By RUSHI P

鈥�

Apr 13, 2025

Gained Amazing Conceptual Knowledge

By Alex T

鈥�

Feb 19, 2025

Good, simple for understanding info

By Shakil H 2

鈥�

Nov 22, 2024

It was so difficult for me to learn

By Fabio A T

鈥�

Nov 20, 2024

super Teacher and very good course.

By Pavol D

鈥�

Jul 8, 2024

Awesome as every course from Andrew

By T霉ng N

鈥�

Oct 12, 2023

love it, May the Forest be with you

By Jerold S

鈥�

Aug 8, 2023

The teacher has a positive attitude

By Sulav G

鈥�

May 31, 2023

It's a great course. Learned a lot.

By Arijit G

鈥�

Nov 27, 2022

this course was absolutely awesome.

By 膼岷 N

鈥�

Aug 2, 2022

content in this course is very good

By RyounHeo

鈥�

Jul 1, 2022

The best machine learning course!!!

By Lucas M C M

鈥�

Oct 23, 2025

O melhor cursos que j谩 fiz na 谩rea

By sai y

鈥�

Jul 26, 2025

Superb explanation from Andrew Sir

By Yasin B K

鈥�

Sep 1, 2024

No reaction, just watch and learn.

By Meng G

鈥�

Feb 3, 2024

Great course! Learn a lot from it.

By sameh a

鈥�

Dec 25, 2023

Great course, I strongly recommend

By Young S S

鈥�

Dec 25, 2023

A great course! Thank you so much!

By Matheus B

鈥�

Sep 6, 2023

The Andrew methodology is awesome!

By Reimu K

鈥�

May 24, 2023

Please accept my heartfelt thanks.

By Gajanad P

鈥�

May 3, 2023

very helpful course for my studies

By Kimia M

鈥�

Oct 29, 2022

Simple, complete and comprehensive

By JAMMALA P K

鈥�

Apr 27, 2025

Excellent one, really loved it !!