Chevron Left
Back to Advanced Learning Algorithms

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

4.9
stars
6,684 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:

901 - 925 of 1,032 Reviews for Advanced Learning Algorithms

By Mohammad S

•

Dec 9, 2023

Awsome

By Kimiya K

•

Nov 19, 2023

Great!

By PRATHAM W

•

Aug 23, 2023

Superb

By Sergei P

•

Jul 23, 2023

Great!

By Mohamad K

•

Jun 7, 2023

awsome

By Cristian C R T

•

Mar 26, 2023

Graet!

By seyed m s m

•

Jan 24, 2023

thanks

By Mohamed H

•

Sep 22, 2022

Great

By 30na r

•

Sep 19, 2024

cool!

By Ranjith D R

•

Feb 22, 2024

great

By NITHISH K G

•

Dec 16, 2023

great

By Maria V D

•

Oct 17, 2023

Great

By khawaja s

•

Oct 3, 2023

thnks

By DEMAH A S A

•

Sep 13, 2023

greet

By Muhammad S

•

Sep 7, 2023

Great

By Seyyed M M

•

Jun 3, 2023

Good!

By Putu G P A

•

Apr 7, 2023

Great

By Yu-Cheng C

•

Nov 5, 2022

Nice!

By Piyush J

•

Oct 7, 2022

none

By Rain L

•

Nov 13, 2024

Good

By 巡豪 許

•

Oct 21, 2024

good

By Muhammad A X

•

Oct 15, 2024

cool

By mahdi t

•

Sep 27, 2024

best

By Priyanshu K

•

Sep 11, 2024

good

By Hanium M J

•

Aug 20, 2024

best