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Learner Reviews & Feedback for Supervised Machine Learning: Regression and Classification by DeepLearning.AI

4.9
stars
23,866 ratings

About the Course

In the first course of the Machine Learning Specialization, you will: • Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. • Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression 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

JM

Sep 21, 2022

Specacular course to learn the basics of ML. I was able to do it thanks to finnancial aid and I'm very grateful because this was really a great oportunity to learn. Looking forward to the next courses

FA

May 24, 2023

The course was extremely beginner friendly and easy to follow, loved the curriculum, learned a lot about various ML algorithms like linear, and logistic regression, and was a great overall experience.

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1326 - 1350 of 4,720 Reviews for Supervised Machine Learning: Regression and Classification

By Ricardo E

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Apr 12, 2023

Pretty useful, I have never been in an advanced math class and I perfectly understood all the concepts given in the course.

By SOPHIA L H F D A

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Oct 9, 2022

It was an excellent mathematical introduction to machine learning, I loved learning about the functioning of ML algorithms

By Joe R

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Jun 28, 2022

Excellent update on the original course. The coding tutorials are much more intuitive now they are in Python. Good job all.

By Carlos

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May 6, 2024

I liked everything about this first course. Nuanced, excellent material, clear explanations and guidance, smooth platform.

By Aliakbar H

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Jan 3, 2024

I literally enjoyed watching this course. I learned a lot of useful issues. Thanks a million for providing this course :))

By Tariq J P S C

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Oct 26, 2023

This is an amazing course to land in the exciting world of artificial intelligence. I am glad to be a part of this course.

By Amirhosein S

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Jan 28, 2023

The ML and the Deep learning was new for me and this awesome course built my knowledge in this specific area.

Best regards

By Oleksandr A

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Sep 2, 2022

Fantastic course. Good rythm and more than enough information to learn the basics and get going. I love the optional labs!

By Parampreet S

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Aug 1, 2022

A great course for beginners.

Andrew Ng sir taught really well.

Curriculum is good, quizzes and assignments are interesting.

By Harihararam S

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Jul 22, 2022

I learnt a lot from this course, thank you Andrew Ng sir! I look forward to complete other courses in this specialization.

By Robert-Alexandru B

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Oct 8, 2024

Andrew Ng is probably the best teacher I've ever seen explaining such hard to understand topics in a simple and easy way.

By Ayşegül Ö

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Jun 3, 2024

Very well organized content. In such a short time I couldn't get a better understanding of Regression and Classification.

By Deleted A

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Dec 25, 2023

Best course to start with for complete beginners. The instructor teachers everything from scratch in a very engaging way.

By Casey A

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Sep 8, 2023

Excellent course with great teaching material. The lessons flowed together which made the assignments easier to complete.

By Dhairya S

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Jun 16, 2023

Course covers all the basic information, explanation. practice questions, Quizzes etc for a beginner in Machine Learning.

By Max Z

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Dec 17, 2022

Awesome beginner level ML course. I enjoyed learning through it and would recommend it to my friends. Thanks Professor Ng

By Ayan B

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Oct 6, 2022

It is a great course and everyone who wants to learn the concepts of machine learning should definitely try this course.

By Akshay U

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Aug 10, 2022

I learned very much deep knowledge of linear regression and logistic regression in this course in easiest way . thank you

By MANDEM V K

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Jul 31, 2022

The course content is really awesome and the lab assignments helped me a lot to understand about the concepts discussed .

By 7014-Amit K N

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Jul 31, 2022

This course helped me a lot to understand about machine learning algorithms and how to apply them in practical scenarios

By Anand

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Jul 25, 2022

The course provides an easy way to learn Machine Learning on which a good future could be built. Thanks Andrew Ng & Team.

By Shivaraj S

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Jul 20, 2022

I am happy about that i know the concept of the machine learning and I able to do the code on the that using mathematics

By mahwiz

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Jul 6, 2022

The course has been updated very well, Python makes the tutorials much easier to follow, All of you did an excellent job.

By Gannavarapu G M

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Aug 4, 2024

This cource make me interst to learn machine learning"This course has sparked my interest in learning machine learning."

By Shedrach K M

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May 23, 2024

It was very informative, Andrew was very detailed and he made it seem easy to understand with his technic in presenting.