Chevron Left
Back to Advanced Learning Algorithms

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

4.9
stars
8,161 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.

Filter by:

751 - 775 of 1,215 Reviews for Advanced Learning Algorithms

By JAMMALA P K

•

Apr 27, 2025

Excellent one, really loved it !!

By Ricardo G

•

Mar 12, 2024

Very usefull and excited course!!

By Raghvendra M

•

Oct 22, 2023

Awesome course, great instructor.

By Sanjib S

•

Sep 14, 2023

Exceptional and engaging learning

By duchoan m

•

Jul 1, 2023

Very good course! 5 stars from me

By Leith S

•

Jun 24, 2023

Another great course from Andrew.

By MCMXCVII N

•

Mar 12, 2023

Perfect course for the beginners.

By Balaji

•

Oct 6, 2022

Got a clear understanding of NNs

By Alireza K

•

Aug 22, 2022

The best course I have ever taken

By Hritik A

•

Jul 3, 2022

Watched till week2. Great Content

By tanieehong 0

•

Aug 12, 2025

Andrew Ng is a very good teacher

By SOWMYA G

•

May 31, 2025

it was great learning experience

By Aurélien

•

Jan 15, 2025

lecture and lab are super useful

By Manh T

•

Jul 18, 2024

Best Course about ML on Coursera

By Hasham A

•

Dec 3, 2023

Fantastic and Amazing Experience

By Nilesh G

•

Jun 29, 2023

Course was really very helpful !

By Marcos S

•

May 16, 2023

Awesome course! Thanks everyone!

By Yuvraj J

•

May 10, 2023

Best course for machine learning

By Justin H

•

Feb 27, 2023

Andrew Ng. The man. The legend.

By Nada S A K

•

Feb 7, 2023

Andrew's explanation is amazing!

By Prathamesh K

•

Oct 20, 2022

One of the best course to study

By Francesco D

•

Aug 17, 2025

Excellent learning experience !

By Hadar D S (

•

Jul 31, 2024

Very important and well-taught!

By Rolando R Z C

•

Apr 25, 2024

Very carefully designed course.