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

4.9
stars
7,354 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.

SB

Nov 6, 2022

This course is a brief but thorough introduction. It has a good mixture of theory and practice.Andrew Ng explains every thing very good, understandable and in a fun way.I highly recommend this class!

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651 - 675 of 1,117 Reviews for Advanced Learning Algorithms

By Tritam M

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Aug 28, 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 17, 2024

Great course with the best instructor!!!

By SHIVAM P

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Dec 29, 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 Kaushal P

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May 30, 2024

Absolutely amazing and helpful course!

By Shashi K V

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Mar 22, 2024

Awesome course for deep understanding.

By Sailesh S

•

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.

By Anupam

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Oct 20, 2022

Excellent way of teaching. Thank you!

By Philip G

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Aug 15, 2022

really good and highly recommendable.

By Jan S

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Aug 8, 2022

An amazing introduction to the subject

By Mohd U

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Oct 18, 2024

its been awesome to learn from andrew

By Abdullah A

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Jun 29, 2024

Mr. Andrew is an excellent instructor

By sriraj p

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Jan 22, 2024

Best course to strengthen your basics

By Shruthi B K

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Nov 15, 2023

It was comprehensive and well taught.

By Karan P

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Jun 17, 2023

Very Insightful and nicely expalined.