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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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926 - 950 of 4,720 Reviews for Supervised Machine Learning: Regression and Classification

By Jose O

Oct 22, 2022

Really good, even when you already know the stuff, this course is great. I never seen this aproach of implementing things from scratch in another machine learning course!

By babak r

Sep 5, 2022

thank to you prof. dr. Andrew Ng and all the team in coursera and deeplearning.ai for this outstanding course and amazing platform that makes learning easy and enjoyable.

By Zohaib S

Jul 24, 2024

Course gives you a great deep dive into the basics of machine learning with a focus on understanding the inner workings of machine learning models in a simplified manner.

By Finnegan J C

Jul 9, 2023

What a great intro to Machine Learning!! Andrew is a great teacher. He goes slow but at the end of each week you look back and are surprised with how much you've learned.

By VADLAMANI R S S

Feb 21, 2023

Excellent course. It gives better understanding on basics of machine learning. This is the best course for the beginners and freshers who wants to learn machine learning.

By Prasuna M

Aug 14, 2022

Thanks toAndrew Ng for wonderful sessions.The way Andrew explains the concepts is really interesting.Enjoyed all his lectures thoroughly.The lab sessions are very useful.

By Shaik H

Jul 2, 2023

It is helpful for us to learn more and more courses in free of cost and coming to the course Andrew sir has explained the course in neat and clean manner .Thank you sir

By Carlos A B G

Jan 10, 2023

Great course to understand the basics of Machine Learning. I had already knowledge about many topics in the course, but still was very useful to strengthen my knowledge.

By BALA M K

Jul 5, 2022

Completely beginner-friendly and helped me navigate the world of ML terminologies easily. I I would definitely recommend it to anyone who wants to switch to a ML career.

By Fathir A F

Jul 24, 2024

It was really comprehensible, I believe even those who've just beginning to learn coding with Python and new to Calculus would understand! Thank you Andrew Ng and team!

By Vinay S

May 23, 2023

Great course with great depth of concepts but this course seems easy to complete all quizes and assignments were a cakewalk I think toughness level should be increased.

By Amit K

May 14, 2023

A good introductory course to ML. I liked the step by step approach and the fact that it provided an option to delve deeper into the mathematics if the student desired.

By Souradeep K

Jul 5, 2022

This is one of the best course available out there. However the programming is little tough, though hints were there but providing some prerequisites would help better.

By Lucas L

Jul 29, 2024

Un gran curso para iniciarse en Machine Learning. Recomendado tener cierto conocimiento en matemática elemental como álgebra lineal y análisis matemático multivariable

By Tinon T

Apr 30, 2024

I can now better understand the fundamentals of machine learning thanks to Andrew Ng's didactics, which explains everything in the most straightforward way imaginable.

By Nathalia D M

Sep 27, 2023

Es un muy buen curso, con explicaciones claras y profundas. Los laboratorios permiten comprender y poner en práctica la fundamentación teórica. Lo recomiendo sin duda.

By Manuel T

May 18, 2023

Andrew is amazing. One of the best teachers I ever had. Make it very clear and he is very knowledgeable.

Truly appreciate Andrew's passion to expand the AI knowledge.

By Emil M P

Apr 4, 2023

The instructor is very, very knowledgeable.

Content is explained using lots of visual tools.

Worked really well for me especially with the labs.

Need to dust off my math.

By Daniel M C

Nov 30, 2022

Muy bueno este curso, soy de Colombia y siento que se aprende lo necesario para poder tener la iniciativa de profundizar en los temas de mayor interés. Muchas gracias.

By Jorge M

Nov 7, 2022

Excellent opportunity to learn from the best. Absolutely brilliantly delivered course, straight to the point with the mathematic substance expected from such a leader.

By Thais G L d A

Oct 16, 2022

Content is very good and accessible! With good overview of not only implementation of linear and logistic regression, as well as the theory and concepts behind those.

By Edward C

Sep 18, 2022

Very clear and concise explanation on intuition behind the ideas. Good pace. Labs strengthen understanding. For anyone who wants to learn, or unlearn and re-learn.

By Adrian A “ D F G

Aug 16, 2022

I like how the course focus in the math behind the algorithms. I think that is important to better underestand the limitations and advantages of different algorithms,

By Cookedhappyman (

Aug 16, 2022

easy to understand, some coding knowledge will help alot.

the juice is clear and easy to understand.

video and mic qualities are not the best, but very much good enough.

By Özgür U

Sep 4, 2024

Bilgisayar Mühendisliği 4. sınıf öğrencisiyim. Üniversitede aldığım derslerden çok daha kapsamlı ve kök nedenlere derinlemesine giren bir kurstu. Teşekkürler Coursera