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Back to Supervised Machine Learning: Regression and Classification

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

4.9
stars
19,023 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

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.

AD

Nov 23, 2022

Amazingly delivered course! Very impressed. The concepts are communicated very clearly and concisely, making the course content very accessible to those without a maths or computer science background.

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1651 - 1675 of 3,926 Reviews for Supervised Machine Learning: Regression and Classification

By Amar

•

Sep 15, 2022

I understand the theory and was able to implement vertozied code.. feeling happy

By Mario T

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Aug 21, 2022

Great revision of the contents! this is my second time I did it and I enjoyed it!

By Otuazohor P

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Aug 6, 2022

It was a very detailed and down to earth introduction to machine learning for me.

By John

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Aug 1, 2022

Excellent Course in every regard. Looking very forward to the next in the series!

By Gautam S

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Jul 16, 2022

I really like the way the course is structured in a very simple yet thorough way.

By Aayush K

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Apr 12, 2024

This guy is so down to earth and really explains it from the complete beginning.

By Aditi J

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Apr 8, 2024

It was a really helpful course, I got to learn a lot of things from this course.

By Juan E M E

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Mar 12, 2024

Me parece increíble la capacidad de transmisión de conceptos de manera tan clara

By Shreshth G

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Jan 17, 2024

The course covers the basic of regression and helps to build a strong base on it

By Deleted A

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Jan 2, 2024

Loved the simplified explanations of foundational concepts with examples & labs.

By ARPAN G

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Nov 16, 2023

The course is the best, it has everything covered, down to the smallest details.

By Антон Т

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Nov 6, 2023

Very useful course. It is well explained and seems to be a great point to start.

By Cristian H

•

Oct 16, 2023

Very good content to refresh concepts and application in Python on Supervised ML

By Jerry P

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May 29, 2023

help you build up deep down understanding for the machine learning.

super helpful

By Kaleab G

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Apr 28, 2023

I think this course provides a good and clear description of the topics at hand.

By Francesca C P

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Apr 10, 2023

Direct application of the machine learning algorithms with succinct explanation.

By Anil K S

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Jan 21, 2023

Instructor is very good for teaching . Thanks for providing such type of lecture

By Akashdip H

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Oct 26, 2022

Amazing course developed a compreshensive idea about machine learning concepts.

By nicholas m

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Aug 7, 2022

Insightful and engaging course! Didn't expect amything less from Andrew and team

By 李大明

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Jul 18, 2022

From theory to practice, the teacher's explanation is very thorough and logical.

By Ahmed E

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Apr 5, 2024

اسلوب المدرس سهل للغاية بالرغم من صعوبة المحتوي الا انه استطاع تبسيطة بشكل كبير

By Harshit B

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Apr 3, 2024

Loved it. The course structure and the concepts taught were highly interesting.

By Ajay Y

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Mar 3, 2024

it's a best way to learn the machine learning from scratch. I love this course.

By Wilmer R V

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Feb 20, 2024

Muy bueno, comprensible y práctico, te da una idea clara de los temas expuestos

By 郭自强

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Feb 7, 2024

不愧是机器学习最为推荐的课程之一，感觉非常的深入浅出，吴教授所讲授的知识都是比较容易理解的，也可能是入门部分，总之认真学习之后会对着部分的内容有比较好的理解。