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

4.9
stars
8,217 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.

SB

Nov 6, 2022

This course is a brief but thorough introduction. It has a good mixture of theory and practice.Andrew Ng explains every thing very good, understandable and in a fun way.I highly recommend this class!

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By Maria V D

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Oct 17, 2023

Great

By khawaja s

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Oct 3, 2023

thnks

By DEMAH A S A

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Sep 13, 2023

greet

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Sep 7, 2023

Great

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Jun 3, 2023

Good!

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Apr 7, 2023

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Nov 5, 2022

Nice!

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Oct 7, 2022

none

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Aug 27, 2025

best

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Jul 30, 2025

good

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Jun 1, 2025

good

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Mar 28, 2025

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Feb 28, 2025

Good

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Jan 19, 2025

good

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Dec 17, 2024

NICE

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Nov 13, 2024

Good

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good

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Oct 15, 2024

cool

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Sep 27, 2024

best

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Sep 11, 2024

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Aug 4, 2024

nice

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Jul 29, 2024

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Jul 28, 2024

Good

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Nov 16, 2023

Good