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

4.9
stars
6,137 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

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Great course got to learn a lot of under-the-hood working of various machine learning algorithms. I would surely recommend ML enthusiasts to enroll in this course to upskill yourself.

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Beginner level course, explained simple concepts on neural network specifically Multi-Layer Perceptron & Decision Tree, nothing advanced topics covered. But the explanation is very very good.

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326 - 350 of 969 Reviews for Advanced Learning Algorithms

By Marcelo P S

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Mar 26, 2023

An excellent course, very updated and with real examples to be applied in professional life.

By Rodrigo F

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Mar 10, 2023

Professor Andrew Ng has outdone himself in this course, the dynamics and examples are great.

By Zharfan D H

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Apr 15, 2024

i like the casual jokes randomly thrown at week 4 videos, very sudden and out of character.

By Harshan S

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Aug 15, 2023

One of the best course on machine learning algorithms in online. Really easy to understand

By Jonathan R B

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Jul 26, 2023

The Advanced Learning Algorithms course on Coursera was an outstanding learning experience!

By Pastor S

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Sep 5, 2022

Amazing course that allow to understand what's going on behind the scenes of ML algorithms

By Kizmaz E

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Aug 12, 2022

This course provided me to learn machine learning algorithms in depth. Thanks for everyone.

By Chris O

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Oct 30, 2023

I really enjoyed the course. It breaks things down to the minimum needed for understanding

By Giancarlo P

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Dec 15, 2022

The instructor goes straight to the point. The labs are so helpful. This course is awesome

By Rahul R

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Aug 19, 2022

Felt like week 4 could've used some optional labs. But other than that, an amazing course!

By Chong W

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Jul 27, 2024

Andrew is a great educator on this topic. The course is clear, concise, and to the point.

By Aditya K B

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Jul 16, 2024

It was a wonderful experience learning these Algorithms with Andrew Ng!! Thanks so much!

By Nishshanka L A

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Aug 10, 2023

I learned basic Deep learning concepts and usages and every basic stuff from this course.

By Manas B

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Apr 10, 2023

Thank you Andrew Sir for providing such a good and informative course. Thank you so much.

By Ivan K

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Dec 5, 2022

Great material - easy to follow and with everything explained. Andrew is beyond praise :)

By Abishek S

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Nov 17, 2022

I loved the way the course is designed. Please include little bit details around xgboost.

By Karthik P

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May 18, 2024

You can't find a better introductory machine learning course than this , anywhere online

By Khaled M

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Aug 30, 2023

Amazing I know have a good idea about neral networks and decission trees implementatioin

By Nicholas J F

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Jun 26, 2023

Awesome. The Interactive Jupyter Notebooks are a notch above in the instructional realm.

By Anas S

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Feb 11, 2023

Thank you very much for this course, it is really very useful and enrich of information.

By Michael T

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Aug 12, 2022

The best lecturer and easy description of even the complicated concepts. Thanks a lot!!!

By Loh N E A

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Sep 4, 2023

very informative, concepts broken down into bite sized pieces, very easy to understand.

By Gopal R

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Jun 4, 2023

Advanced learning algorithms in ML with well structured and easy to understand modules.

By Tudor J

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Nov 11, 2022

A course just as great as the previous one in this specialization. Worth all its money!

By Jair C

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Aug 27, 2022

Excellent Teacher, Excellent Material, Excellent Evaluations and Excellent Laboratories