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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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851 - 875 of 1,032 Reviews for Advanced Learning Algorithms

By Vedang B

•

Dec 7, 2022

Best Course

By Lê T M D

•

Aug 17, 2022

best course

By Karn T

•

Jul 10, 2022

Good Course

By Rajeev R

•

Jun 20, 2022

Best course

By Mohamed B

•

Aug 12, 2024

Perfection

By Darshankumar P

•

Jan 15, 2024

awesome...

By Jianzong W

•

Dec 9, 2023

Excellent!

By Scotley W

•

Apr 24, 2023

great info

By Heitor A A M

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Feb 28, 2023

Spetacular

By Aditya R

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Jan 26, 2023

Fantastic!

By Sai R P

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Sep 25, 2022

Great one

By Mohamed A

•

Jul 30, 2024

Excellent

By UTTAM

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Jun 25, 2024

Excellent

By Đức M

•

Jun 12, 2024

nice joke

By Dhiranjit

•

Feb 21, 2024

Excellent

By Nguyen M K ( H

•

Oct 25, 2023

Very good

By aida y

•

Oct 18, 2023

excellent

By Andrew

•

Jul 31, 2023

excellent

By 슈쿠룰로/학생/융합시스템공학

•

Jul 15, 2023

excellent

By Aman J

•

Jul 8, 2023

excellent

By SUBRATA M

•

Jul 7, 2023

very good

By Prithwijit G

•

Jun 14, 2023

Excellent

By Chidiebere S M

•

May 6, 2023

Excellent

By Mahbub T

•

Apr 4, 2023

Fantastic

By partheniac

•

Feb 26, 2023

good good