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

4.9
stars
8,364 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

HI

Apr 18, 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.

AA

Dec 30, 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.

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1001 - 1025 of 1,247 Reviews for Advanced Learning Algorithms

By Hema A

•

Aug 2, 2022

Great course

By Aadvik C

•

Jun 19, 2025

Loved it !!

By Khedimi m n

•

Apr 2, 2025

amazing job

By Hamza S

•

Nov 5, 2024

Good course

By Asad H

•

Jul 17, 2024

Good Course

By Rounak K G

•

Jun 14, 2024

Really good

By Alexander S C C

•

Apr 12, 2024

Interesante

By Deepak S m

•

Dec 16, 2023

was amazing

By Youssef H

•

Oct 13, 2023

Very Useful

By Nihaz N

•

Oct 12, 2023

Insightful!

By Muhammad T H

•

Sep 26, 2023

Excellent!!

By Amir M

•

Jul 24, 2023

Just great!

By Fatemeh J

•

Apr 29, 2023

very Good 1

By bounphet t

•

Apr 16, 2023

good course

By Arnaud J K K

•

Mar 28, 2023

Super cours

By Aniketh N B

•

Feb 16, 2023

Good theory

By Kaitlyn H

•

Jan 5, 2023

Super Good!

By Vedang B

•

Dec 7, 2022

Best Course

By Lê T M D

•

Aug 18, 2022

best course

By Karn T

•

Jul 10, 2022

Good Course

By Rajeev R

•

Jun 21, 2022

Best course

By Ashok N V

•

Oct 24, 2025

Loved this

By Valentin N

•

Jul 31, 2025

Insightful

By Mohammed B

•

Aug 13, 2024

Perfection

By Darshankumar P

•

Jan 16, 2024

awesome...