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

4.9
stars
8,615 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

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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1051 - 1075 of 1,291 Reviews for Advanced Learning Algorithms

By bounphet t

•

Apr 16, 2023

good course

By Arnaud J K K

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Mar 28, 2023

Super cours

By Aniketh N B

•

Feb 15, 2023

Good theory

By Kaitlyn H

•

Jan 5, 2023

Super Good!

By Vedang B

•

Dec 7, 2022

Best Course

By Lê T M D

•

Aug 18, 2022

best course

By Karn T

•

Jul 10, 2022

Good Course

By Rajeev R

•

Jun 21, 2022

Best course

By Ashok N V

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Oct 24, 2025

Loved this

By Valentin N N P

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Jul 31, 2025

Insightful

By Mohammed B

•

Aug 13, 2024

Perfection

By Darshankumar P

•

Jan 16, 2024

awesome...

By Jianzong W

•

Dec 9, 2023

Excellent!

By Scotley W

•

Apr 25, 2023

great info

By Heitor A A M

•

Mar 1, 2023

Spetacular

By Aditya R

•

Jan 27, 2023

Fantastic!

By Sai R P

•

Sep 26, 2022

Great one

By Chih-Ta W

•

Nov 27, 2025

Very good

By Olivier C

•

Sep 26, 2025

Thank you

By Deleted A

•

Aug 4, 2025

excellent

By Khaled Z

•

Apr 6, 2025

wonderful

By Sayyed H H

•

Mar 29, 2025

Very Good

By PASHAM N

•

Mar 9, 2025

Excellent

By Piyush

•

Dec 9, 2024

bhery gud

By Mohamed A

•

Jul 31, 2024

Excellent