This course provides a quick and easy introduction to machine learning and python. I enjoy the learning experience. The materials have room for improvement: there are typos and redundancies.

It is a good course indeed. I have enjoyed the notebook practical part most. Though the theoretical part is a bit boring, I have learnt a lot. Thank You for designing the course in such way

I like the introductory format of using case studies of a wide range of methods, it gives you an overview of the core machine learning algorithms that are used, and what they are used for.

Se deben actualizar algunos Notebooks, la librería de turicreate ha cambiado y algunas funcionalidades no están disponibles para python 3. Lo cual complica las respuestas en los examenes.

Many practical examples for usages of machine learning.

Almost concepts, no hard math works.

Recommend for beginners who interested in machine learning but did not have any math background.

The course is fantastic and presented well. I never got my feet under me because i had a lot going on at work. Does have some linear algebra pre-reqs that you can brush up @ khan acedemy.

Every topic is nicely explained in this course but the only problem is that I was unable to install graphlab library, so it would've been better if any other library would've been used.

It is a great course. Congratulations! Everything is subject of improvement, though. Check again that the version of graphlab referred to in the videos is the one available to download.

The instructors are excellent and the material is good. The only drawback is the need to use Graphlab. This would have been a really great course if we had to use open source software.

Wonderful Course that I have really enjoyed while learning understandings of Machine Learning and its applications in real-world problems. Thanks to Instructors and Coursera and Team

i understand the use of graphlab to make thinks easy... but it would be better to state that on the description of the course, because i don't see myself using graphlab in the future

I was blocked with the Turicreate and Sframe libraries because Turicreate doesn't install on windows (outside of a virtual machine). I'd prefer more standard libraries for training.

Great introduction course on Machine Learning. Got hands on experience to build Regression, classification, clustering, recommending & deep learning model with python and Graphlab.

I really like this course. Very nice introduction to ML. The only downside is that it would be nice to have some comments on how to implement the algorithms without using Graphlab

Very interesting and easy to learn course. But I'd like to more of mathematical background in algorythms and of course use open-source libraries instead of proprietary graphlab.

Very nicely compiled set of lectures: I am new to machine learning and am finding this course very conducive to understanding some key ML algorithms using a case-study approach.

The case study approach of this course makes it interesting and fun to learn the concepts of Machine Learning. I only wish more live examples were used to explain the concepts.

I think it is one of the best courses to start with in Machine Learning. It shows you the big picture and different problems that Machine Learning could be used in the problem.

excellent intro to the field for newbies. the only thing i would improve is that some of the coding concepts could have been explained more clearly and more practice exercises.

Its been a great experience attending the course, one stop for knowing the basics of ML. Looking eagerly to deep dive in the coming courses of this Specialization. Thank YOU !!

Very nicely done course.

I have to note that I was not sure how to get help as I was stuck on a issue. I was able to finally figure out but the instructors are unresponsive :(.

Nice approach, I liked the balance between theory and practice.

Great use of quizz to force assimilation of new concepts.

This is a brilliant introduction to Machine Learning.

Very good course. Course modules are easy to follow because of the hands on approach.

But just wondering why the capstone project is removed from the course specialization?

I love what I am learning in this course however some of the lectures are completely disconnected from the quizzes. They could do a better job quizzing based on the lecture.

This course has given a good introduction to the broad topics of ML and what I will be taught in the next 5 courses in the specialisation and gave me a reason to be excited.