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

4.9
stars
4,921 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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226 - 250 of 801 Reviews for Advanced Learning Algorithms

By Francisco S A

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Jul 25, 2023

Good compilation of some of the most common advanced learning algorithms. Missing some like SVM but great in any case.

By Fangyuan L

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Nov 16, 2023

nice instructor and very useful learning materials, the course is also designed to be very begininger level friendly!

By Mamy R

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Jul 24, 2023

Very strong learning methodology, from easy understanding to abstract content with enriching practices!

Thanks a lot!

By Shawn B

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Aug 15, 2022

Very useful material. I recommend it to everyone interested in learning about practical machine learning algorithms.

By Simpal K M

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May 24, 2023

It was a great course. I am thankful to Andrew Ng and full team who made these difficult concepts a piece of cake.

By Nicholas S

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Jan 23, 2024

The course is informative and easy to follow, building on the material covered in the supervision learning course.

By Mironov V

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Nov 25, 2023

I would like more examples and practical tasks on convolutional neural networks, but otherwise the course is good.

By Juan S G V

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Oct 12, 2023

Un curso especializado muy completo. El profesor es muy dinámico y tiene una excelente manera de hacerse entender.

By Yu K

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Oct 6, 2023

super useful course for those who wants to gain some bascis knowledges about the neural network and decision trees

By Duc G

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Apr 29, 2023

Can't explain how important this course to me :D. Keep updating the good work. Many will need it in the future :D

By Gaurav M

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Dec 31, 2023

really organized course, great teaching style, But in decision tree I struggled getting intuition about entropy.

By Mobin V

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Sep 9, 2023

Simple language, Great labs, Good path.

This course is actually a Great Way to Learn Machine Learning Algorithms.

By Pasindu S

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Dec 24, 2022

The way Andrew is teaching is superb. This course helps me to learn concepts in machine learning easily. Thanks

By Veronika S

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Mar 7, 2023

'Advanced Learning Algorithms' course is right start for those who want to dive into AI Neural Networks ocean.

By Kim A

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Aug 23, 2022

Best for people who want to get their hand on ML. Very practical but at the same time, mathematically detailed

By Roy M

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Aug 7, 2022

great video instruction and the labs are quite challenging but are excellent for putting theory into practice.

By Utpoul K M

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Dec 4, 2023

I immensely appreciate the way Prof. Andrew Ng teaches! I adore every classes and labs curricular activities!

By Ahmad V

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May 24, 2023

great course with simple teaching methods that make your foundation strong in machine learning specialization

By Tianyue P

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May 14, 2023

This course is an extraordinary introduction to deep learning, and gives very detailed explanation throughout

By Narawish K

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Jun 28, 2023

Explaing complex things into easy things. Still the best course for explaining machine learning from scratch

By YBH

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Jun 19, 2023

the course is interesting and easy to learn,but i think something too simple,like decision trees and XGBoost

By Yusuf Y

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Aug 3, 2023

Absolutely worth taking and spending time I have learned so many things so far. I am really happy about it.

By Fatemeh B

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Mar 22, 2023

Some of the exercises were too boring. But the videos were awesome! Thanks a lot for this brilliant course.

By Sohrab M

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Dec 26, 2022

I think for most of the time that I've learned this course, I experienced something new. Thanks to you all.

By Ayush D

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Jul 26, 2022

A great course to start your journey into the fields of Deep Learning , Neural Networks and Decision Trees.