Name: Advanced Learning Algorithms
Brand: DeepLearning.AI
Availability: OnlineOnly
Rating: 4.9 (1149 reviews)

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

4.9

stars

7,695 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

Apr 15, 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.

Nov 7, 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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726 - 750 of 1,149 Reviews for Advanced Learning Algorithms

By Nilesh G

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Jun 29, 2023

Course was really very helpful !

By Marcos S

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May 16, 2023

Awesome course! Thanks everyone!

By Yuvraj J

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May 10, 2023

Best course for machine learning

By Justin H

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Feb 27, 2023

Andrew Ng. The man. The legend.

By Nada S A K

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Feb 7, 2023

Andrew's explanation is amazing!

By Prathamesh K

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Oct 20, 2022

One of the best course to study

By Hadar D S (

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Jul 31, 2024

Very important and well-taught!

By Rolando R Z C

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Apr 25, 2024

Very carefully designed course.

By Debasis N

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Feb 24, 2024

Thanks Everyone, Thanks Andrew!

By Sathiyalokeswaran L

•

Sep 27, 2023

I learnt a lot from this course

By Afdoni P S

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Apr 10, 2023

yoyoyooyoy so cool Mr.Andrew NG

By Margaret O

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Nov 28, 2022

It was tough but worth the time

By Sandeep M

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Oct 2, 2024

Excellent in form and content.

By Chitra M G 2

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Sep 2, 2024

understandable .. good classes

By ilyes k

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Aug 3, 2024

One of the best courses I take

By Dakshesh H

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Jul 25, 2024

Excellent Course for Beginners

By Vignesh B

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Jan 17, 2024

Excellent course for beginners

By mr g

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Nov 26, 2023

An excellent and usable course

By Arash S

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Oct 26, 2023

It was awesome for me . Thanks

By Surendra K S

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Oct 13, 2023

Excellent course for beginners

By Omer S

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Jan 14, 2023

Great course. I learned a lot.

By Saeedanwar M

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Sep 14, 2022

i love the way they tought me

By Krrish R

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Mar 22, 2025

Thanks for giving me a chance

By 정한솔

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Dec 19, 2024

Excellent Course to study M/L