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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
17,990 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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951 - 975 of 3,770 Reviews for Supervised Machine Learning: Regression and Classification

By Nilesh G

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May 7, 2023

Its really a very impressive course, which helped me clear my doubts regarding machine learning and made me confident to learn in more depth.

By Ulfat H

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Dec 26, 2022

Not just a lot of valuable information, and clear explanations, but it's also fully fun to listen, to instructors' explanations. Many thanks

By Mohammad A S

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Aug 29, 2022

What a course! I have done mathematics of ML courses but never got the opportuinity to do such a hands-on course. Thank you, Andrew and team!

By Keshav G

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Mar 22, 2024

This course is should always be the first choice if you're entering into the field of data science and machine learning, recommend strongly.

By Prithwijit G

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Jun 8, 2023

Nice, Excellent, Fabulous... slightly easier than the previous course, named as "Machine Learning", compared to the programming assignment.

By Roy M

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May 28, 2023

Excellent hands on course for Machine Learning. Python adds to the challenge but also done in a way that it is not difficult to deal with.

By Sakloua, R M

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May 2, 2023

It was great covering all details of the machine learning basics. It is a good starting for anyone who is interested on the AI technologies.

By Field B

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Mar 15, 2023

It is probably one of the best things about learning machine learning!

We believe that this material itself will be useful for years to come.

By Adeer K

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Oct 25, 2022

Thank you for this wonderful opportunity. I believe the videos could have been shortened. Information was well structured but was repeated.

By David G

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Jul 30, 2022

I need a course how to make such courses ;-)

The presenter is incredibly positive. I will often think of him to be so positive in my courses.

By hamza h

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Sep 2, 2023

This is the best course in Machine Learning I have ever taken. Everything is well organized. Thank you dear Andrew and all the course team.

By Franklin L

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May 19, 2023

It allows you to introduce yourself into the world of machine learning. I really enjoyed learning because the course is very well designed.

By Noah G

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May 14, 2023

Was out of touch having taken a year off from uni, course was great taught very well and good resources to get me back on track with it all

By SACHETH K

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Mar 12, 2023

This was extremely helpful for my university work and personally i am amused by this too hence i could keep going without any difficulties.

By Iven T S

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Feb 14, 2023

Great course. The instructor, Andrew, was always attached to the basics and excellently explained the concepts. A course with zero entropy.

By Cuong K

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Dec 11, 2022

Really intuitive learning curve for non-programmers, plus plenty of in-depth content for those who are interested.

Would highly recommend!

By Barry d T

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Jul 10, 2022

Very impressive. Remarkable selection of what is important. Very clear conceptually. I enjoyed the structured nature of the Python labs.

By Abhishek S

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Aug 23, 2023

A fantastic introductory course to Regression and classification algorithms. The concept was clearly explained in simple and lucid manner.

By Masoud M

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Aug 18, 2023

just one world, brilliant!!! thank you all for this amazing course. as a beginner in this field, I'm totally interested to this topic now.

By Nikhil Y

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Jan 30, 2023

I think it was an amazing course ,teaching and labs were very good,i think the only thing it requires for being perfect is adding projects

By assia y

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Dec 11, 2022

Hello, my name is ASSIA,

the first course of Machine learning and specialization helps me understand the fandamontals of machine learning

By Peregrine

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Oct 10, 2022

Great, easy to jump into despite my intro CS programming background and general understanding of statistics and regressions/distributions

By Mohamed C

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Sep 13, 2022

What an amazing course! I give 100% rate with no doubt. My sincerest thanks to all the contributers specialy the instructor Dr Andrew Ng

By Hania E

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Aug 31, 2022

Course is well organised with a balanced pace for new learners. Also the instructor is well trained and has a very good sense of teaching

By Diego C M

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Jun 25, 2022

Andrew Ng makes an outstanding job explaining the math behind the magic :) The Jupyter Notebooks are definitely a game changer. Well done!