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.

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

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.

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.

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.

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.

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!

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.

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 .

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

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.

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.

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.

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.

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.   

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!

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.

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.

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)

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.

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

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.

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.

This course was a great way of going back to the fundamentals of Machine Learning. Even though Regression and Classification formulas are very basic compared to the deep learning models and neural nets, I can already predict or hypothesize how those work internally using the concepts from this course.

The structure of the course was very helpful, and the instructor explained the concepts very well. Before taking this course, I found machine learning very confusing, but now I have a much better understanding. I am looking forward to the second course and have high expectations for what I will learn.