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

4.9
stars
8,364 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

HI

Apr 18, 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.

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.

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851 - 875 of 1,247 Reviews for Advanced Learning Algorithms

By Sergio M

•

Dec 6, 2023

Instructive and Inspiring

By hossein g

•

Jul 18, 2023

Really informative course

By abdirisak a y

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Jan 2, 2023

thank you proff Andrew Ng

By Tien H

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Oct 13, 2022

Excellent!! I learn a lot

By Adithya S

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Sep 7, 2022

Very fgood for begginers

By Simone C

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Aug 8, 2022

Sublime! Nothing to say!

By Rodel F A

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Feb 9, 2025

This training is superb.

By Romain D

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Oct 3, 2024

Very clear and intuitive

By Devendra P

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Sep 26, 2024

Great Inshightful course

By Shreyansh G

•

Aug 20, 2024

Thanks for the Knowledge

By Solipsist

•

Mar 12, 2024

Great course, I love it!

By Zahra R

•

Jan 7, 2024

Best Course EVERRRRRRR!!

By Muhammad H

•

Sep 23, 2023

Very well taught course.

By Mohomad L U

•

Aug 22, 2023

Greate Instructor Andrew

By Karim A 2

•

Aug 22, 2022

Amazing course as usual

By Hafeez U

•

May 16, 2025

This is the best course

By Ashutosh G

•

Oct 12, 2024

Fantastic explanations!

By BADRI N

•

Aug 15, 2024

Great course by Andrew.

By Hossein A

•

Jan 18, 2024

Explanation was perfect

By Khushi G

•

Dec 9, 2023

Very nice and detailed.

By ViaLabsDigital - A d I

•

Nov 22, 2023

Great labs and classes!

By Hamidreza K

•

Aug 8, 2023

It was a perfect course

By Е Е

•

Nov 18, 2022

老师讲解的非常清楚且易懂，非常好的入门级课程。

By Peter R

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Sep 14, 2022

Great work, thank you!

By RAHUL V

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Mar 23, 2025

one of the best course