Chevron Left
Back to Advanced Learning Algorithms

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

4.9
stars
5,215 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 14, 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.

MN

Jul 29, 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.

Filter by:

626 - 650 of 837 Reviews for Advanced Learning Algorithms

By sulaiman s y m

•

Feb 18, 2024

is a great course

By Mohammad G

•

Feb 3, 2024

It was amazing..!

By Joao D

•

Jul 11, 2023

Curso fantástico.

By sy c

•

May 2, 2023

Excellent course!

By Carel T B

•

Mar 21, 2023

Excellent! Thanks

By Manoj K

•

Jan 23, 2023

Excellent course!

By Monika L

•

Nov 11, 2022

Excellent course!

By José B P

•

Nov 3, 2022

Excellent course!

By FU D

•

Oct 31, 2022

Excellent course!

By Ankan S

•

Oct 17, 2022

Very nice course

By KEDUKODI B S

•

Oct 9, 2022

Very nice course

By Fernando A

•

Jul 1, 2022

Excellent course!

By Jiayi Q

•

Jan 28, 2024

Wonderful class!

By Paromita K

•

Dec 18, 2023

Excellent course

By Arsal B

•

Sep 20, 2023

excellent course

By Yashu S

•

Sep 2, 2023

legendary course

By Maulaya R

•

May 20, 2023

Amazing approach

By Andrew P

•

Jan 15, 2023

i love andrew ng

By Daniel M

•

Dec 9, 2022

Excellent course

By OLUWAFEMI A

•

Aug 18, 2022

Excellent Course

By Deleted A

•

Jul 16, 2022

excellent !!!!!!

By Yiqing W

•

Apr 11, 2024

Absolutely good

By Amin M

•

Nov 5, 2023

Amazing course!

By Behzad

•

Aug 28, 2023

Amazing course!

By Ben L

•

Jul 30, 2023

Amazing course!