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

4.9
stars
8,403 ratings

About the Course

In the second course of the Machine Learning Specialization, you will: 鈥� Build and train a neural network with TensorFlow to perform multi-class classification 鈥� Apply best practices for machine learning development so that your models generalize to data and tasks in the real world 鈥� 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鈥檚 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鈥檙e 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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951 - 975 of 1,256 Reviews for Advanced Learning Algorithms

By Paromita K

鈥�

Dec 18, 2023

Excellent course

By Arsal B

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Sep 21, 2023

excellent course

By Yashu S

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Sep 2, 2023

legendary course

By Maulaya R

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May 20, 2023

Amazing approach

By Andrew P

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Jan 15, 2023

i love andrew ng

By Daniel M

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Dec 9, 2022

Excellent course

By OLUWAFEMI A

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Aug 19, 2022

Excellent Course

By Deleted A

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Jul 16, 2022

excellent !!!!!!

By ADOYTA D E

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Oct 28, 2025

it is very good

By MD. M H

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Aug 19, 2025

Helped me a lot

By Bhawana y

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Jul 12, 2025

its pretty good

By Diego C C

鈥�

Nov 13, 2024

ducking amazing

By Pankaj G

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Jun 8, 2024

Awesome course.

By Yiqing W

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Apr 12, 2024

Absolutely good

By Amin M

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Nov 6, 2023

Amazing course!

By Behzad

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Aug 28, 2023

Amazing course!

By Benjamin L

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Jul 31, 2023

Amazing course!

By Hern谩n O L

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Jul 20, 2023

Simply excelent

By Harsh S

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Jun 22, 2023

jiferk;gknxyk;o

By Jananga K

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Feb 2, 2023

Awesome content

By Eyad N

鈥�

Oct 2, 2022

perfect course

By Grantigui B D

鈥�

May 12, 2025

Tr猫s important

By Jason D

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Jan 16, 2025

awesome class!

By Farzaneh J (

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Aug 24, 2024

really enjoyed

By Uttam P

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Aug 3, 2024

Awesome course