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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
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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1176 - 1200 of 4,720 Reviews for Supervised Machine Learning: Regression and Classification

By Hamza E

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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 D V

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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 laxman r

•

Oct 11, 2024

I recently completed the Machine Learning course by Andrew Ng, and I found it to be an excellent resource for anyone starting in the field

By Priyam S

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Aug 3, 2024

This course really dives deep into the conceptual and theory part of the regression and classification with strong mathematical solutions.

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!

By Saba M

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Sep 10, 2024

it was the beginning of my machine-learning path, soooo grateful to had this chance to gain such valuable experiences from Andrew himself

By Allen S

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Dec 21, 2023

The best guided course for learning Machine Learning. The labs where very insightful and detail oriented. Thank you DeepLearning.AI team!

By Agata W

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Mar 30, 2023

Excellent teaching. Professor Andrew Ng is perfect at explainig quite complex concepts and ideas in a very, very simple and coherent way.

By Ilyas A

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Feb 28, 2023

The best course to learn Machine Learning. It include all aspects of the Machine Learning Including coding and actual methematical logic.

By kamalidharan s

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Sep 1, 2022

The best foundational course on Machine Learning, I love the balance of math and programming concentration in the lectures and assignment

By Arabinda P

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Jul 6, 2022

thank you a lot sir for such a wonderful explanation. comparing the previous course offered by you, this one is far better .thank you sir

By zeiad a

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Sep 12, 2024

The labs submission process is a bit confusing and the way we don't have the ability to restart the lab from scratch is really annoying.

By Muhammad S H S

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Nov 21, 2023

The course designed by the instructors was very smooth to learn. Special thanks to the Professor Andrew Neg for his easy explainations .