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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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751 - 775 of 1,032 Reviews for Advanced Learning Algorithms

By Subrata M

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Aug 19, 2022

Very well explained.

By Aishwarya S

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Jul 27, 2022

LOVED THE JOKES TOO!

By SIBAJIT M

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Oct 26, 2024

In-Depth , relevant

By Mehmet C Ö

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Jun 15, 2024

very helpful course

By mbark a

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Apr 27, 2024

Was a great course!

By Thảo N

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Feb 5, 2024

it's a great course

By Mairaj Z

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Oct 24, 2023

excellent course!!!

By Srijeeta M

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Sep 29, 2024

its a great course

By raid a B

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Mar 30, 2024

Andrew is the best

By Axel B

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Mar 22, 2024

Very informational

By Anshu A

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Jan 1, 2024

Well taught course

By Inam u H

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Jun 30, 2023

great explanations

By Guna S K

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May 23, 2023

cleared my basics.

By Ricardo M

•

Oct 19, 2022

Excellent course!!

By 阮方

•

Oct 5, 2022

easy to understand

By Sohaib A

•

Aug 7, 2022

Amazing experience

By Sachit S

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Oct 24, 2024

Excellent course!

By Massine E

•

Sep 30, 2024

Excellent Course!

By Vivek K

•

Jun 19, 2024

Brilliant Course!

By sulaiman s y m

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Feb 18, 2024

is a great course

By Mohammad G

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Feb 3, 2024

It was amazing..!

By Joao D

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Jul 11, 2023

Curso fantástico.

By sy c

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May 2, 2023

Excellent course!

By Carel T

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Mar 21, 2023

Excellent! Thanks

By Manoj K

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Jan 23, 2023

Excellent course!