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

4.9
stars
26,360 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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1201 - 1225 of 5,115 Reviews for Supervised Machine Learning: Regression and Classification

By Alexander S

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Jul 16, 2023

The projects and assignments challenged me in the best way possible, and the supportive course community made the learning experience even better.

By Dipanjan B

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Jun 12, 2023

The course is amazing.

It would have been nice if there was an example code on how to calculate and plot higher-order polynomial decision boundary.

By Bryan D M A

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May 16, 2023

Great introduction to Machine Learning. This is a more accessible version of the first course, so the content and activities are fit to beginners.

By Mahdi Q

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Jan 11, 2023

This is a great course being taught by Dr.Andrew Ng , a great istructor who can easily explain difficult topics. Thank him and his fantastic team.

By Edwin H

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Oct 30, 2022

with the excellent fundamentals of this course, i could refresh my knowledges in Machine Learning from my study and apply for further endeavours.

By Zuraif A

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Feb 10, 2025

The tutor is very specialized for the field and leaves nothing untouched. Had real fun learning this concept and will surely help moving forward.

By Daniel B

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Jan 28, 2025

This course was a challenges, working during nights, finding time frames to keep going on this. I consider this course really interesting. Thanks

By Hoan N

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Oct 27, 2024

The lecture provided good information to understand the covered topics. Andrew has explained each topic in a way that is very easy to understand.

By Amila H

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Sep 11, 2024

This machine learning course is very useful and has excellent course content and order. Therefore as my opinion i highly recommended this course.

By Gabriel B d C B

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Jan 13, 2024

Andre is an excellent teacher. The course guides the content in a way that makes sense, by showing why each concept is useful and how it is used.

By Omar A

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Sep 19, 2023

Excellent instructor. Focus on building intuition was critical for understanding the concepts and recalling keeping up with the maths. Thank you.

By NOUHA B

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Aug 16, 2023

complex conceptswere presented in a clear and simplified manner which has made a significant impact on my understanding and learning experience.

By Bishal 2

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May 29, 2023

The simplicity in the way of explaining each and every topics is captivating and engaging and the clarity this course provides is awe-inspiring.

By Aditya R

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May 20, 2023

Probably the. best course available for somebody new to the ML field and would like to build a strong foundation and understanding of the topics.

By Hala S

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Aug 21, 2022

Very informational. The course is taught in a very simple manner while giving lots of information. Definetly will be continuing the next courses.

By Navin N

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Aug 3, 2022

Learning from the legend is always Awesonme. I am clear with the concepts of ML and is already working on implementing them on my day to day job.

By Bruno R S

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Jul 30, 2022

Even being the most basic introduction to Machine Learning, the course is complete enough to be the best in the area. Recommended for beginners.

By Praneeth A

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Dec 11, 2024

I’m truly grateful to DeepLearning.AI for providing such valuable content. It has been incredibly helpful in developing my skills. Thank you! 😊

By Siddhartha G

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Nov 25, 2024

It's an excellent beginner level course. While I am not a beginner but still clarified many of existing doubts and conceptual misunderstandings.

By Muhammad T

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Sep 1, 2024

this course was designed very precisely targeting core concepts,labs and assignments really helped in building confidence for practical projects

By Tweylib C T

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Jul 10, 2024

it was a wonderful experience with Andrew Ng and his simple method of conveying his knowledge. Also thanks for coursera for their financial aid.

By moulham a

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Feb 3, 2024

nice course give you a good inution about regression,classification algorithms and about regularization that i have except a hard math equation

By Francesc Z

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Oct 24, 2023

The material was explained very clearly and at the perfect pace. It was very easy to follow, despite having forgotten most of my math knowledge.

By Arvydas Ž

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Dec 23, 2022

Andrew Ng for AI is what Richard Feynman was for quantum mechanics - complex concepts explained very clearly. And AI is new quantum mechanics :)

By Girish S S

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Nov 17, 2022

Best learning experience. Teaching methods and learning material were unbelievably excellent and the classes went at the perfect pace. Loved it!