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.   

Enjoyed this course, it explains the math behind the concepts without getting completely dry and bogged down in theory. I really enjoyed the labs where you needed to write out your own code and then could test the results and really believe there should have been more of that within the other ungraded labs.

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.

Excelente curso sobre regresión lineal y logística! La transmisión de los conceptos es muy clara, llena de ejemplos para evacuar dudas y con laboratorios en python para profundizar lo visto en clase. También da consejos muy útiles para poder aplicar los algoritmos a situaciones reales. Felicitaciones!

Amazing course, amazing content, amazing instructor. The way in which Andrew introduces the different topics is incredible and it is really easy to understand all of the concepts. As an introductory course to ML, I feel I'm beginning this course gave me a solid understand of the most basic concepts.

As a begineer in Machine Learning, I would suggest this course should be the first one every one takes. Mr. Andrew provides an indepth yet crisp insight of the underlying logics enabling us realise a ML model. Having a bit of very basic math background will help understand the algorithms far better.

A very helful course for beginners the optional labs are tremedous and organised very professionally for beginners those who would like to learn Machine Learning. Background concepts are really well explained with real world examples. The whole course is a peice of Art!!!! Thank you Prof. Andrew NG.

This was a great course. The only thing I would have appreciate more content about is the relationship between this being branded as 'machine learning' versus the same techniques that have been taught for decades under the label of 'econometrics' or 'statistics.' What makes this 'machine learning'?

This is my first full course on AI/ML. It has certainly helped me gain a lot of knowledge. The videos were clear, and the interactive labs were fun. I will recommend this course to anyone who wants to start learning AI/ML. Thank you Andrew Ng and everyone else who contributed to making this course.

A excellent course for those who are into learnning machine learning. This course is explained in detail with wonderful examples which makes the process of understanding easy . And the optinal labs provided with course which have interactive examples gave a great intuition about the course topics

In my opinion, this course is excellent. This course includes the concepts, application and considerations of machine learning (Regression and Classification) along with implementation in Python. This course is designed and implemented in the best way. All its content is informative and valuable.

El intructor explica de una manera comprensible, con una energia que contagia el querer aprender mas acerca de la IA, los laboratorios son una mezcla perfecta de lo que se habla en los videos y refuerza muy bien el tema. Mi curso favorito sin duda, estoy agradecida de poder aprender de Andrew Ng

I have struggled for so long in getting to understand how neural networks work. It turns out that neural nets are just simple logistic units arranged in some fancy ways. I decided to take this course and everything else unfolded after that. Thank you very much Andrew Ng, you an amazing teacher.

Very well put together course and material. Good balance with respect to some explanation of the underlying mathematics while minimizing the need for immediate deep understanding of these concepts. Clear, concise and well articulated explanations with lab materials to reinforce learned concepts.