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

4.9
stars
5,183 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.

SL

Aug 27, 2022

After copleting the course I found all conceptual knowlegde for visualising and implementing the algorithm in my work. Before this course I was not using the full potential of the advanced algorithm

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301 - 325 of 832 Reviews for Advanced Learning Algorithms

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

By Shreshth G

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Apr 14, 2024

Very helpful course to grasps the basics of machine learning fundamentals and concepts

By Arghya D

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May 30, 2023

Great course explaining every bit of machine learning algorithm using modern for labs.

By Ramzi R

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Nov 15, 2022

Great course! I wish there were some optional videos on XGBoost and the math behind it

By VISHVESH B (

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Nov 7, 2022

Very informative and useful course to learn Machine learning from beginner to advance.

By Daniel A

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Aug 9, 2022

Thank you to all course development staff specially to Dr Andrew Ng. Fantastic course.

By Murat B

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Sep 22, 2023

Very understandable and instructive , even for a beginner like me with no background.

By Ben H

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Jun 7, 2023

Fantastic course that teaches the fundamentals of neural networks and decision trees!

By Hiren K

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Jun 4, 2023

2/3 done.. Thanks Andrew for making this transition to ML so smooth and yet powerful.

By Tharindu M W

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Jan 25, 2024

The course is well-structured and valuable. The fundamentals are taught effectively.

By David M

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Dec 10, 2023

Well paced course, topics explained clearly, great Notebook programming lab support.

By Florencia I A

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Oct 23, 2023

amazing, but lowkey I hope the content especially the video is more straight-forward

By Erfan R

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Aug 20, 2023

best for beginners.

lovely teaching with Dear Andrew NG.

Thanks lot for financial aid

By Jaeyeol S

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Jul 22, 2023

I felt that the curriculum was well planned in a way that helps students understand.

By Stanislav L

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May 12, 2023

Andrew Ng is telling wonderfully about ML and algorithms. Millions of thanks to him!

By ehsan r

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Jan 10, 2023

I am very glad that I accomplished this course with the best instructor in the world

By Yung-Hui H

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Aug 15, 2022

Intuitive explanations to help understanding, highly recommended introductory course

By Ronnel G

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Jul 16, 2022

Great content and easily understandable explanation.

PS: The jokes are a huge plus XD

By Jeremy O

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Apr 15, 2024

Andrew Ng is a legend. I am going to become an ML engineer because of this course.