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

4.9
stars
18,061 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.

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

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626 - 650 of 3,771 Reviews for Supervised Machine Learning: Regression and Classification

By Katerina A

Jul 28, 2022

It was the best course I ever had! It iwill be very difficult for me to use the algorithms I was tought, but I am very thrilled that I finished it! I am grateful to Professor Andrew Ng and the team!!!!

By Asfaw G

Jun 10, 2023

I loved this course a lot. The environment, the teaching methodology, the follow of concepts... everything is well crafted. And I can't thank you enough for availing this amazing course free of charge.

By Anand S

May 9, 2023

Has to be the best course in ML I have ever taken. Thanks to Coursera for the Financial aid. I would recommend the course for anyone who wants to learn the basics of ML in a fun and interactive manner.

By Sebastian A

Aug 9, 2022

I really liked it! Andrew explained perfectly all the concepts and I understood everything.

The only thing I think It could improve is to have more Lab Tests, so you practice more what you have learnt.

By Susanne B

Nov 6, 2022

This course is a brief but thorough introduction. It has a good mixture of theory and practice.

Andrew Ng explains every thing very good, understandable and in a fun way.

I highly recommend this class!

By Abdullah-Al M

Mar 11, 2024

This course has offered invaluable insights and clarity in understanding machine learning concepts. It was a nice journey towards understanding practical application and complex concepts made easy.

By Rizwan N T

Apr 13, 2023

it is probably one of the best courses i've ever taken, definitely recommend for beginners, and then to further improve your skills, take the other 2 courses of the specialization, i will do so too

By Fahad M

Sep 23, 2022

Very Engaging course. The instructor explains stuff in a way such that a student can develop a sound intuition of the mathematics behind the algorithms in addition to the implementation side of it

By Anuj P

Sep 3, 2022

A perfect course for beginners who are seeking to learn machine learning. I want to thank Mr. Andrew Ng and his team for this wonderful course. Thank you so much for providing this quality course.

By João V B

Aug 19, 2022

It's a very comprehensive course for beginners. Like others said, I believe it best if the person knows some basic Python and algebra for this, as they'll be able to better understand the lectures.

By Yashika B

Mar 19, 2024

I believe that Andrew Ng is the father of machine learning . The Course was intutive and easy to understand . This course is the basic building block for machine learning . Hats off to the efforts

By anand r

Feb 24, 2023

Awesome lucid and lots of infographics with hands-on lab exercises. The instructor is well organized and has lots of research experience in his field which is evident after completing this course.

By TheMaskMan

Feb 8, 2023

Thanks for giving me the financial aid for this course.

This course really helps me to learn something new, and I really appericiate that you guys helps the student to learn these skills.

Thank You!

By Yasin A

Dec 31, 2022

I learned about the important concepts and algorithms on supervised learning in this beneficial course. I highly recommend anyone who wants to start in this field to take advantage of this course.

By Nick T

Oct 18, 2022

A very good course. The videos are well thought out with a good entertaining presentation. The labs reinforce the material presented in the videos and are the best training exercises I have seen.

By Mahdieh E

Jul 21, 2022

this course has helped me become familiar with machine learning concept, it is a great opportunity to learn machine learning algorythms, for everyone with a basic knowledge of Math and Statistics.

By Kristine V

Dec 17, 2022

I have taken quite a few Machine Learning courses and this is my favorite so far. Very clear explanation, helpful visuals, super informative! Great job team for creating this awesome course. 5/5

By Sohan P

Sep 4, 2022

The starter code for the third assignment was a little deceiving. I coded it using np.dot() instead of a for loop and I feel my method would be useful in some cases as that's how the notation is.

By Ciro M P

Jul 1, 2022

Great course. Easy to understand but deep in contents. Accesible even if english is not you mother tonge, but better if you have certain math base knowledge. The Jupyter notebooks are so useful.

By Vladyslav T

Feb 27, 2024

I've already completed different course about machine learning but this one is the ьгср ьгср иуееук: it dives into details that are crucially important to understand what happens under the hood.

By Amirreza S

Jul 28, 2023

It's a good course to grasp fundamentals of machine learning. Andrew makes it very smooth to remember all the basic ideas, incorporate what you have learned and get your hands on AI programming.

By Diego F

May 16, 2023

Thank you for the amazing course. This course is an excellent initial step to understand what artificial intelligence is and how we can use it. It's really chalenging. Thank you Mr. Andrew Ng.

By Diego F

Aug 25, 2022

THIS is an example of how the courses on this platform should be! Very balanced with theory and practice, good lectures, amazing community, LOTS of practice, and more! Did not disappoint at all!

By Andreas P

Aug 30, 2023

Clearly structured course, explaining step by step. Ideally suited for after work learning. Course comes with a lot of real life examples to make the idea on how to use AI better understanding.

By Peace C

May 10, 2023

This was so intense and very practical and it's what I'm always looking for. I loved it and I highly recommend it to all AI enthusiasts willing immediately get their hands on Machine Learning❤️