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

4.9
stars
5,272 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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476 - 500 of 846 Reviews for Advanced Learning Algorithms

By Md. S A

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Mar 12, 2024

Best course ever. Thank you, sir, very much.

By Juan A

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Jul 11, 2023

Great course. Clear, simple and very useful.

By Boris D K N

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Jun 7, 2023

The best of the best Machine Learning Course

By ugur a

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Dec 9, 2022

amazing approach for ML and DL thanks a lot!

By Dhruv P

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Jun 15, 2023

Well Explained !! Great Course by Andrew NG

By Pranav S

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May 31, 2023

Highly interactive, grasping and fun course

By sri n

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Nov 15, 2022

explanation ,quiz and assignments are good.

By Santos E S

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Sep 28, 2022

The best machine learning course ever!!!!!

By luis m

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Jul 21, 2022

Great explanations and guided course work!

By Yousef A

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Mar 6, 2024

very fantastic course with great knowledge

By Kishore Y

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Nov 22, 2023

awesome course.. covered the topics deeply

By Maximiliano M

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Oct 23, 2023

Encouraging course to learn complex topics

By Huynh L D

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Mar 22, 2023

Amazing teaching and practical assignments

By Hemalatha K

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May 17, 2024

All concepts are clear. Thank you so much

By Taslim M M

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Apr 17, 2024

Thank you Coursera for the financial aid.

By THOMPSON K

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Apr 6, 2024

Awesome lecturer, number 1 in this field.

By Savvas K

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Mar 28, 2024

Excellent and deep learning in Algorithms

By Roman M

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Feb 28, 2024

Very well structured. And easy to follow.

By Rodrigo T

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Jan 7, 2024

Greate course! Thanks Andrew Ng and team!

By Shreshth P

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Nov 18, 2023

Very Informational and Interesting course

By Harshit S

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Feb 10, 2023

Very nice course and structured content .

By Лихачев Д Ю

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Feb 7, 2023

It just cant be better. Much appreciated.

By Astra L

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Nov 29, 2022

I have learned a lots from it, thank you.

By Tritam M

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Aug 29, 2022

Absolutely loved every bit of the course.

By Davi M

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Jul 1, 2022

I really enjoy doing this course. Thanks!