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Learner Reviews & Feedback for Unsupervised Learning, Recommenders, Reinforcement Learning by DeepLearning.AI

4.9
stars
3,821 ratings

About the Course

In the third course of the Machine Learning Specialization, you will: • Use unsupervised learning techniques for unsupervised learning: including clustering and anomaly detection. • Build recommender systems with a collaborative filtering approach and a content-based deep learning method. • Build a deep reinforcement learning model. 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 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

CL

Jun 30, 2024

Good pace and really well-designed for those who are total strangers to machine learning. I could follow along quite easily and looking forward to try out some of those algorithms on my own free time.

JT

Jun 7, 2024

Recommender Systems, Reinforcement Learning culminating in teaching a simulated Lunar Lander to land itself! I bet SpaceX something similar for the 'real' starship landing; it's much more complicated!

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301 - 325 of 611 Reviews for Unsupervised Learning, Recommenders, Reinforcement Learning

By Stewart A

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Jun 7, 2023

Great course. Great subject. Great teacher. Thanks Andrew!

By mohammad m m

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Jul 15, 2024

best instructor in the world. to the point and practical!

By Vinayak S

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Aug 10, 2023

Best till date if you wanted to get started with AI ML DS

By Chufeng H

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Dec 18, 2023

Thank you, Andrew! This is an inspiring course to learn.

By Eyad N

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Nov 18, 2022

what a perfect course to start in machine learning track

By Hadar D S (

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Jul 31, 2024

I love this course! Reinforcement learning is amazing.

By Muhammad A

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Jun 9, 2024

Excellent course, well Structured with Quizzes and Labs

By Mohamed M

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Sep 10, 2023

An excellent course delivered extremely well by Andrew.

By Steve T

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Jun 12, 2023

Loved this course and the ML specialization. Thank you!

By Theophilus O

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Feb 16, 2023

The complete reference of Machine Learning and very fun

By Denia C S

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Nov 9, 2022

Great course to learn the basics of Machine Learning.

By Sanchit M

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May 8, 2024

Best course for machine learning out there to learn

By Leith S

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Jul 7, 2023

Another good introduction to this subject by Andrew.

By Andres M O A

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Jun 6, 2023

Excelente curso, muy aplicado, práctico y dinámico.

By Jagjot S

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Aug 23, 2023

Just amazing!, Only thing I missed is Time Series.

By Abekoon J R J C R

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Aug 12, 2023

This course opened me a new way of problem solving

By 周建廷

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Jun 25, 2023

It would be better if there were Chinese subtitles

By Sai G M

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Aug 15, 2022

Excellent course. Nothing less expected of Andrew!

By Ashraf H

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Aug 9, 2022

Outstanding course and specialization. Thank you!

By OLUWAFEMI A

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Oct 16, 2022

A fantastic course. Taught simply and completely

By Jair C

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Sep 28, 2022

Excelent and Innovative course. Congratulations.

By Reginaldo C

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Feb 12, 2024

I am really amazed by the quality of the course.

By Cornelius K

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Jul 23, 2023

Very clear, step by step course, easy to follow.

By Alireza K

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Sep 12, 2022

Thank you Andrew. This is the best course ever.

By Janick Z

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Nov 19, 2024

Andrew Ng - the best professor I have ever had!