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

4.9
stars
8,320 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

AA

Dec 29, 2024

The course provides an excellent introduction to widely used machine learning concepts, including Neural Networks. While the material can be challenging, it is presented in a digestible manner.

HI

Apr 17, 2024

This showcases key points and advice on building a good model via optimizing model hyperparameters hence making the learner able to debug and tune the model for the particular situation.

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701 - 725 of 1,241 Reviews for Advanced Learning 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!

By Ali A

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Jan 18, 2024

Great course with the best instructor!!!

By SHIVAM P

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Dec 30, 2023

Teaching by Andrew Ng Sir is outstanding

By Shiva N

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Jan 10, 2023

Thanks so much!

It was really wonderful:)

By Andrei N

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Dec 5, 2022

very clear & structured / well organized

By Tahmidul A S

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Jul 31, 2022

One of the best courses I have ever had.

By Alireza A

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Jan 12, 2025

They expertly taught the best material.

By Alejandro G

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Dec 18, 2024

I learned a lot with a moderate effort.

By Hussain D

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Sep 22, 2024

Brilliant course to improve your skills

By eiad t

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Feb 3, 2023

one of the best courses i 've ever seen

By Mahammed A (

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Jul 5, 2025

very hand on lab is useful then theory

By Niloy K

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Jun 10, 2025

Outstanding way of teaching, hats off.

By Kaushal P

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May 31, 2024

Absolutely amazing and helpful course!

By Shashi K V

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Mar 23, 2024

Awesome course for deep understanding.

By Sailesh S

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Dec 25, 2023

Fantastic course for Machine Learning!

By Matheus W T

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Jul 16, 2023

Loved it. Just what I was looking for.

By Dainel G

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May 19, 2023

Many thanks for this wonderful course.

By Nafiz s

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Jan 24, 2023

This was an great course by Andrew NG.