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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

LL

Mar 1, 2023

Worth it! Can easily be complete within a month (even during a full, in-person, university class load). I used this to learn more about machine learning prior to conducting biomedical research.

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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By Mohamed H

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Sep 22, 2022

Great

By Ali A

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Mar 22, 2025

great

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Mar 19, 2025

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Sep 19, 2024

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Oct 4, 2023

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Sep 14, 2023

greet

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Sep 8, 2023

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Apr 7, 2023

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Nov 5, 2022

Nice!

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Oct 8, 2022

none

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Oct 7, 2025

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Aug 27, 2025

best

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Dec 18, 2024

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Oct 15, 2024

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