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

4.9
stars
7,906 ratings

About the Course

In the second course of the Machine Learning Specialization, you will: • Build and train a neural network with TensorFlow to perform multi-class classification • Apply best practices for machine learning development so that your models generalize to data and tasks in the real world • 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’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 theoretical 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....

Top reviews

DG

Apr 15, 2023

Extremely educational with great examples. Helpful to know Python beforehand or the syntax will become a time sync, and understanding the mathematics as going through the class makes it a decent pace.

MA

Jun 22, 2025

The course is well crafted and enriched with deep learning and ensemble tree knowledge. Practice labs add strength to the development of skills. Overall good learning experience under sir Andrew NG.

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776 - 800 of 1,179 Reviews for Advanced Learning Algorithms

By Ali M g

•

Oct 20, 2023

that was a fantastic course!

By paddey z

•

Aug 22, 2022

Andrew is so nice and cute!!

By arihant s

•

Feb 6, 2025

really enjoyed this course!

By Dramane D

•

Sep 27, 2024

Great content for biginners

By Feroz K

•

Jul 17, 2024

fantastic, very informative

By Yakov K

•

May 20, 2024

Very clear and illuminating

By Amir S R

•

Sep 17, 2023

It was an incredible course

By Abhimanniu R

•

Jul 26, 2023

Awesome learning experience

By arash k

•

Jan 27, 2023

great and simplified course

By Ketaki K

•

Aug 25, 2024

great teachng by Andrew NG

By Dina A

•

Aug 25, 2024

gooooooooooooooooooooooood

By Mohammad J S

•

Aug 20, 2024

that was great experience.

By Navanish P

•

Mar 3, 2024

no doubt it is best course

By Arvin B

•

Jan 30, 2024

Concise and easy to follow

By Kashif M

•

Oct 5, 2023

Great learning experience!

By KARANAM V K

•

Jul 20, 2023

This is a very good course

By Amirhasan A

•

Apr 17, 2023

very easy and great course

By Pratyush K

•

Apr 8, 2023

Must for beginners in ML !

By Gerd D B

•

Oct 2, 2022

Awesome for us beginners!

By Badie T

•

Sep 21, 2022

Very interesting course:D

By Ziv M

•

Sep 11, 2022

ANN explaining is great!!

By Sayed S

•

May 2, 2025

It was an amazing course.

By Timileyin D

•

Apr 19, 2025

best of all at the moment

By Farhan T

•

Mar 8, 2025

Learned a lot, thank you.

By Andrew Z

•

Nov 7, 2024

My favorite course so far