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

4.9
stars
6,137 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

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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.

AD

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Great course got to learn a lot of under-the-hood working of various machine learning algorithms. I would surely recommend ML enthusiasts to enroll in this course to upskill yourself.

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376 - 400 of 989 Reviews for Advanced Learning Algorithms

By Jeremy O

Apr 15, 2024

Andrew Ng is a legend. I am going to become an ML engineer because of this course.

By Varadi H R

Apr 6, 2023

One the best lectures of my student life. Thank you team for such valuable efforts.

By Ali A

Oct 24, 2022

Faboulas course. many thanks to every person who helped to make this great course!

By Reuben P

Aug 12, 2022

Good introduction to neural networks, practical machine learning and decision trees

By Kaleta K

Apr 11, 2024

He's such an awesome teacher. Teachers make ALL the difference. Thank you so much!

By isitha d

Mar 26, 2024

A great course which explains very clearly. Helped me to learn a lot as a beginner

By Sal T

Sep 10, 2024

Stright forward, and very useful content. Fantastic for a practical introduction.

By Omid M

Jul 12, 2023

I'm really excited about living in 2023 and being able to learn machine learning.

By Ahmed M M E

Jun 6, 2023

An easy-to-follow introduction to a lot of important concepts in machine learning

By Navin D

Oct 8, 2022

Heartliest regards to Andrew NG such a great style of developing the community.

By فائزه م

Aug 15, 2024

thanks all people who tried to generate this awesome course specially Andrew NG

By Gustavo C B

Jun 25, 2024

Excellent! Very well designed and produced. Up to date and extremelly relevant.

By Jesus A A

May 9, 2023

Excellent course to understand concepts of NN and other algorithms like XGBoot.

By Pietro P

Nov 21, 2022

I always follow with great pleasure the guru Andrew, I enjoy learning from you!

By Fatemeh M

Nov 27, 2023

That is really good course .It give us the view of structure of ML algorithm.

By SAMPRETH S

Nov 11, 2022

excellent course with insights on practical implementation of machine learning

By yraion0

Sep 26, 2022

That's amazing course with exceptional materials and laboratory explanations.

By Aryan D

Jun 2, 2024

Excellent course by Mr Andrew looking forward to apply these skills in future

By Ahmad W

Jan 9, 2024

Very well structure and organized. Really parallels with real-life uses of ML

By Alexandre C

Oct 16, 2023

Great to have a basic understanding of Neural Nets and tree-based algorithms.

By Alex Y

Jun 3, 2023

A little more challenging than the 1st course, but very well done nonetheless

By Syed M S

May 28, 2023

Its a course worth taking. Continuous learning, a refresher. Next to perfect!

By Kamurasi J A

Aug 12, 2024

Capture of basic, fundamental concepts, Recommended for intuitive learning.

By Bimsara D

Dec 16, 2023

If you want to be a machine learning engineer, you must follow this course..

By Ankit P

Aug 21, 2022

Its the best course. I just loved and enjoyed so much throughout the course.