Chevron Left
Back to Supervised Machine Learning: Regression and Classification

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

4.9
stars
24,873 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

Filter by:

1051 - 1075 of 4,873 Reviews for Supervised Machine Learning: Regression and Classification

By Emre Y

•

Apr 17, 2024

The topic was very well framed, addressing an important and complex subject matter with clarity. The explanation was straightforward and easy to understand.

By Jialun Z

•

Apr 9, 2024

A great course which provide just enough information for me to enter the world of machine learning, and it's even more fascinate to practice it with Python!

By Anand B

•

Mar 31, 2024

Really good content to help you get grounded on key concepts and see them get applied using Python code. Good reference to industry standard Scikit toolkit.

By mina m

•

Mar 15, 2024

the sequence of the topics is great and Dr: Andrew is truly a legend thanks a lot it helps me. a small note it might help the labs sometimes are confusing.

By Md A A

•

Jan 4, 2024

As an Computer Science student , it is really fascinating for me to learn about AI. I really want to do better in this field, Thank you, Professor Andrew Ng

By 2K20\ME\05\ A

•

Aug 1, 2023

Amazing, it was a great revision and moreover got new perspective about how to see all the basic things that earlier seemed to difficult like cost functions

By Amir H S

•

Jun 5, 2023

A great course for starting Machine learning which contains all basic knowledge that a person should know about the algorithms and the theories behind them.

By Farjana B R

•

Jan 13, 2023

Thank you for the team. I thoroughly enjoyed Andrew's lectures. He made the most difficult concepts easy to understand with apt analogies and illustrations.

By Ardent S

•

Jul 5, 2022

A course every enthusiast/leaner of ML or AI must take. Valuable information on different learning algorithms with great insights on how to implement them.

By Omar R

•

May 2, 2024

Great course for beginners with a great instructor that explains everything slowly and clearly. Recommend to anyone wanting to start with machine learning.

By Hamid G

•

Apr 22, 2023

I liked the course. I learned a lot. It lacks interactivity, though. It would have been great if I could ask questions or share ideas with other learners.

By Mahrou M

•

Mar 29, 2023

To Whom It May Be Concerned,

I would like to thank you all for providing this opportunity, and this course was entirely comprehensible.

Best Regards

Mahrou

By kp

•

Aug 19, 2022

Even though I did the course for revision, the clear presentation of topics and simple formulation of models gave a good new look at things. Very helpful!!

By Brandon A

•

Sep 20, 2024

Material ramps up quickly and you're a bit on your own for the labs, but Andrew Ng does a great job breaking complex ideas down into understandable bites.

By Michael C M

•

Jun 12, 2023

Really great course! Andrew is excellent in teaching the concepts. The content of the course is excellent and progression of topics is perfect! Thank you!

By Dipen G

•

Apr 13, 2023

The best course for Machine Learning in the world ! Very much deep and thorough understanding of concepts with hands on lab is given. Salute to Andrew Ng.

By Christian A

•

Mar 12, 2023

 Excellent for beginners in this Machine Learning world!

Also useful to get a better understanding of he initial concepts, algorithms and its mathematics.

By Shubham P

•

Dec 17, 2022

Sir Andrew NG is very good and knowledgeable teacher. I loved his teaching method.

Thank you sir. This is Shubham Pathak from India.

Love from India Sir =)

By A39_ S A

•

Oct 4, 2022

Excellent course. The way of explanation using simulations is just magnificient. Thank you Andre NG sir for making it very easy to learn Machine Learning

By Nitheesh B

•

Aug 3, 2022

Excellent course. I had great experience in learning this course. Optional labs are helpful in learning python programming and understanding the concepts.

By Chaitanya B

•

Jul 19, 2022

The teaching style is very good. Andrew Ng Sir is really a good teacher. The course made me even more interested in machine learning and it's applications

By Angela V

•

Nov 7, 2024

Excellent introduction course of machine learning with hands on labs. This should give sufficient foundation for entering the world of machine learning.

By Vladimir M

•

Jun 5, 2024

Andrew is an amazing teacher! I never thought that I would be able to grasp the concept of ML, but he was able to explain and teach everything perfectly!

By Sampath

•

Nov 18, 2023

Well organized , Clearly explained , Good examples to understand complex theories , Develop step by step skills by interesting hands on experiment labs

By Maryam B

•

Dec 4, 2022

This course is awesome! It defines the most sophisticated subjects in machine learning in the simplest way possible and the homework notebooks are great.