Chevron Left
Back to Advanced Learning Algorithms

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

4.9
stars
8,320 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 29, 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.

HI

Apr 17, 2024

This showcases key points and advice on building a good model via optimizing model hyperparameters hence making the learner able to debug and tune the model for the particular situation.

Filter by:

826 - 850 of 1,241 Reviews for Advanced Learning Algorithms

By Dina A

•

Aug 25, 2024

gooooooooooooooooooooooood

By Mohammad J S

•

Aug 19, 2024

that was great experience.

By Navanish P

•

Mar 3, 2024

no doubt it is best course

By Arvin B

•

Jan 29, 2024

Concise and easy to follow

By Kashif M

•

Oct 4, 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 10, 2022

ANN explaining is great!!

By Shalani K

•

Jul 9, 2025

Good course for begineers

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

By malak K

•

Sep 14, 2024

it is good cours for me .

By Izaias J

•

Aug 16, 2024

Such a great opportunity!

By Mahanya K

•

Jul 17, 2024

Great intuition building.

By Claudio M A

•

May 17, 2024

Excelente curso, o melhor

By Albert C

•

Jan 14, 2024

Not hard, but so valuable

By Sergio M

•

Dec 5, 2023

Instructive and Inspiring

By hossein g

•

Jul 17, 2023

Really informative course

By abdirisak a y

•

Jan 2, 2023

thank you proff Andrew Ng

By Tien H

•

Oct 12, 2022

Excellent!! I learn a lot