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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.

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676 - 700 of 1,032 Reviews for Advanced Learning Algorithms

By Surendra K S

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Oct 13, 2023

Excellent course for beginners

By Omer S

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Jan 14, 2023

Great course. I learned a lot.

By Saeedanwar M

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Sep 14, 2022

i love the way they tought me

By Mojde e

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Sep 25, 2024

It was perfect. Thanks a lot.

By Nelson M

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Jun 14, 2024

Excellent! Full of substance!

By GAURAV J

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Jul 12, 2023

amazing description of algo's

By karthik K

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Apr 16, 2023

excellent course for beginner

By Shubham P

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Jan 2, 2023

Awesome course awesome mentor

By Mouhamad K

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Oct 20, 2022

Great course, thanks alooot.

By Nate R

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May 30, 2024

Fantastic overview of theory

By Javed S

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Jan 19, 2024

Andrew is a blessing. Thanks

By Ali M g

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Oct 20, 2023

that was a fantastic course!

By paddey z

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Aug 22, 2022

Andrew is so nice and cute!!

By Dramane D

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Sep 27, 2024

Great content for biginners

By Feroz K

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Jul 17, 2024

fantastic, very informative

By Yakov K

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May 20, 2024

Very clear and illuminating

By Amir S R

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Sep 17, 2023

It was an incredible course

By Abhimanniu R

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Jul 26, 2023

Awesome learning experience

By arash k

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Jan 27, 2023

great and simplified course

By Ketaki K

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Aug 25, 2024

great teachng by Andrew NG

By Dina A

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Aug 25, 2024

gooooooooooooooooooooooood

By Mohammad J S

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Aug 19, 2024

that was great experience.

By Navanish P

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Mar 3, 2024

no doubt it is best course

By Arvin B

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Jan 29, 2024

Concise and easy to follow

By Kashif M

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Oct 4, 2023

Great learning experience!