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

4.9
stars
5,215 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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576 - 600 of 837 Reviews for Advanced Learning Algorithms

By KARANAM V K

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Jul 20, 2023

This is a very good course

By Amirhasan A

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Apr 17, 2023

very easy and great course

By Pratyush K

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Apr 8, 2023

Must for beginners in ML !

By Gerd D B

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Oct 2, 2022

Awesome for us beginners!

By Badie T

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Sep 21, 2022

Very interesting course:D

By Ziv M

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Sep 10, 2022

ANN explaining is great!!

By Albert C

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Jan 14, 2024

Not hard, but so valuable

By Sergio M

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Dec 5, 2023

Instructive and Inspiring

By hossein g

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Jul 17, 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 12, 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 7, 2022

Sublime! Nothing to say!

By Solipsist

•

Mar 12, 2024

Great course, I love it!

By Zahra R

•

Jan 7, 2024

Best Course EVERRRRRRR!!

By Dr. M H

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Sep 23, 2023

Very well taught course.

By Mohomad L U

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Aug 22, 2023

Greate Instructor Andrew

By Karim A 2

•

Aug 21, 2022

Amazing course as usual

By Hossein A

•

Jan 17, 2024

Explanation was perfect

By Khushi G

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Dec 8, 2023

Very nice and detailed.

By Raúl

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Nov 21, 2023

Great labs and classes!

By Hamidreza K

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Aug 8, 2023

It was a perfect course

By Е Е

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Nov 17, 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 임준수

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Aug 17, 2023

What a useful lecture!