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

4.9
stars
24,409 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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401 - 425 of 4,802 Reviews for Supervised Machine Learning: Regression and Classification

By Luca P

Jul 10, 2022

All the fundaments explained at a slow pace, to help the learner to fix concepts in the mind. Of course, all the important passages are perfectly underligned by Professor Ng. He always give the feeling that teaching is a grat pleasure for him and this helps all the interested people to learn these fascinating subjects

By Jasonprogrammer

Sep 1, 2024

This course is wonderful. It gives a precise and nice approach towards understanding the underlying rudiments of Machine Learning and Artificial Intelligence. I really recommend this course to anyone who would like to find his/her way in the machine learning industry. Kudos!!! Stanford University and Deep Learning AI

By Muhammad T (

Jul 11, 2024

Everything was easy to grasp. Would have appreciated if there were some assignments that made you write everything from scratch without help ( while only having some checkpoints ). Could be implemented as optional honors content and I think that'd have helped me grasp everything much quicker and in a better manner.

By Naman C

Nov 6, 2023

The course is outstanding learning and teacher! You must buy if you want to learn ML. PPT, quiz, slides, and mathematics is amazing. The explanation is astounding! The video player is poor as I press the space bar it doesn't pause the video But any ways learning is more important Great work to create this course

By Eric N M

May 9, 2023

This course is so fundamental that anyone with no idea about mathematics and machine learning can understand. Thanks to the course instructor, Andrew Ng and the entire coursera team for putting thing together for other who can not make to the United States to also embark on their learning goals in machine learning.

By Mario R

Oct 21, 2022

A really nice starting point for ML. Completing the optional labs helps a lot. The whole course is pleasantly presented and in depth enough to get a good grasp of ML without getting into too many details (even then, if you want details, there's some optional parts of lessons to watch). I'd definitely recommend it.

By Nathan R

Aug 4, 2022

The explanations by Professor Ng were very detailed and precise, which made it better for me to understand while reviewing the material. I also liked how this version uses Python to supplement learning, rather than Octave. The only thing I wished he would have touched a bit more on the math behind the algorithms.

By Nireshkumar A

Oct 10, 2023

Andrew is an excellent instructor who explains the course materials very clearly, consistently made us engaging with the content through neatly drafted real world examples and more informative through a lot of valuable insights and tricks being adopted across the AI industry. Thanks for the well-organized course.

By Yutong L

May 29, 2023

It is the course that deserves multiple attempts. No strong math is required!!! As a math lover, I am so impressed by how simply Dr. Ng illustrated the relationship between loss and cost function and how to interpret equations and functions in lab practices. Moving forward to my next course from DeepLearning.AI!

By Yash S

Nov 15, 2022

Absolutely phenomenal. Hands down the best online course I've ever taken. I'm shocked to see how little background knowledge is assumed, without compromising the depth of the material covered.

Really gives you a good foundational understanding of Machine Learning Basics that sets you up for a future in the field.

By TEJAS V 2

Jun 9, 2024

This course is really helpful in getting your Machine Learning Basics clear as it has a perfect blend of the mathematics and the programming part. All the concepts have been taught very clearly and proper labs have been given to apply those learnings. Wherever necessary the educator emphasizes on the concept .

By mohamed h e n

Dec 26, 2022

if you need to know what really going on under the hood and has full intuition of what you do to control learning Algorithms it is recommended to take this course specially if you starting ai specially machine learning

Note: the explain is so great you understand the whole process thanks to the mentor mr andrew

By Vaibhav S

Jul 25, 2022

Overall very good course for beginners. But I feel there is a lack of exercise. Some labs can have some small questions in between them and practice quizzes can have more questions also question could be more challenging in quizzes.

After completing the course I feel like relaxing on the J-w-b contour.

Thank you.

By Robert S

Aug 9, 2023

An amazing introduction to Machine Learning. The theory was well explained and with really clear examples. The only thing I could add would be that I wished the code was also explained in the videos, mostly for those who would understand better if someone went through it. Overall, a great starting experience.

By Han

Apr 5, 2023

Andrew Ng is such a great teacher and scientist! He is also very kind, engaging and most importantly he wishes to disseminate the great tool and knowledge of AI and computer science to the world! I am very pleased and happy that I did this course with Andrew Ng and learn so much about machine learning and AI.

By Abdulsamet A

Mar 12, 2023

I sure that this course very efficient. Because Mr. Andrew NG explain perfectly how algorithms work and how we can improve our algorithms in detail. Additionally, when I have first saw Mr. NG he gived me inspire then I started to wonder about ML. Sincerely thank you so much. You are the best I have ever seen.

By Adri

Jul 27, 2022

A really nice foundation course for supervised machine learning with right amount of math to understand concepts. I like how the course has been structured starting with simple concepts and slow progress to complex one .

The course contains python code lab which I found very useful to understand the theory.   

By Shelton B M B

Jul 27, 2024

Great course, very well explained. Andrew is awesome. Great for someone with no previous knowledge, for those with a little bit of experience I would say it might be too easy. In any case is totally worth take to level your knowledge on those fundamentals. Looking forward to the rest of the specialization!

By Zahra K

Jan 23, 2023

When I see an expensive car, I wish that one day I would have the same price as the number of students.

Andrew, you made my wish come true!

I am proud to meet you and I am very happy about it ...

I learn that ML is an approach and is a strong culture ! I wish to be able to work and teach in this field one day.

By 【雷涵】Syed

Dec 17, 2022

I have been a self-taught ML and Software Engineer, with 3-4 Yo Experience, However, I knew there where a lot of gaps in my knowledge base. This course has filled them. It was fun doing the labs, even if you have take the 2011 version of the ML specialization, this versions is a must for its labs. Thanks.

By Cristhian J C V

Oct 20, 2023

Excelente curso!!!. A diferencia de otros cursos, te enseña el porqué de cada una de los tópicos de las regresión lineal y logística, implementando cada concepto en código y viendo como es su funcionamiento paso a paso, incluso podrías tu mismo preparar tu propias librerías (similar a las de scikit-learn)

By Matheus B

Aug 13, 2023

The course was very good, the Andrew methodology is incredible. The course provides the tools for both tasks of regression and classifications, using linear regression model and logistic regression. The course is guided for better purposes , but offers a view for the student development your owns tools.

By Manish K (

Jun 16, 2023

I have taken this course 1st time, it is very helpful in understanding basic concept of Machine learning with great advantage of lab session which give great intuition about applying ML-alorithim. I should recommend this all specail those who are not from coding background but want learn machine learning

By Zahra R

Aug 13, 2023

Amazing Amazing Amazing

Thank you very much for this wonderful course.

I learned a lot. Professor Ng has an amazing ability to teach complex topics very simple.

Thank you Professor Ng for this extraordinary course.

I want you to know that your hard work, dedication, and passion for teaching are appreciated.

By 450 S

Jun 19, 2023

This course is very well structured. I used to perfom linear regression with least mean square, but gradient descent is very intuitive and generic to other machine learning. I like the way this course learn you everything from the point of view of this algorithm, it helps capture the intuition this way.