The top-down approach of this course is the best way to understand concepts and view solutions for real-world applications. This way I can go deeper after understanding why I am doing this.

Explanations are provided in detail which helps even the beginners to master the Machine Learning. Case studies are very interestinghelpful to master the concepts and gain the confidence.

A running Jupyter notebook with working examples. Very nice. I couldn't get my local system setup the way they explained, probably because my Python is 3.x is newer than 2.x. Not sure.

Gives a good overview of tools and models used in Machine Learning. Once taken this course, you will have a general knowledge of domain upon which Machine Learning methods can be applied.

Excellent course. I am currently working at Amazon.com and find that this is a perfect supplementary course that will allow a professional to solve business problems. I highly recommend.

Had a blast. I have no background in ML whatsoever. But the tools, concepts and exercises presented is really interesting and really help set the mood for the rest of the specialization.

Emily and Carlos are amazing! The course is well laid out, specially as part of the specialization, taking the regression course would have been different without the foundations course.

Nice introduction to DL, easy to follow with the suggested turicreate or any other framework.

IT is juts a pity that the specialisation this course belong to will no longer be completed.

Brilliant overview. Many thanks to the teachers for designing such a comprehensive overview. This course must be followed by all the others in the specialization for best understanding.

Great course, really well designed and with some interesting real life case studies. Lectures are clear and informative and the assignments help cement your understanding of the content

Very nice overview / introduction to machine learning. Setting up the environment initially was annoying but well worth the effort to be able to analyze/solve more realistic use cases.

Great overview of basic ML concepts in different situations along with hands on exercises. It was really helpful, with examples and little programming challenges that help learn easily.

This is very great course to get students introduced to different machine learning algorithms before digging into the details. And the Graphlab used in the course is really easy to use.

Very good, thorough and helpful! has a good mix of theory and practice. However, the assignments can often be tough to complete and often need extra reading and/or knowledge to tackle.

great starter course to dive into machine learning. it gives you some idea on type of the problem that ML can handle. not much details, though! they are left for the following courses.

It's a really good course and covers all the basics extensively.

It is well structured and the case-study approach actually helps understanding the topics in a better manner and easily.

It's an very interesting and intuitive course. But using the Graphlab Libarary require more CS background. this course should add more document and instructions on how to use Graphlab.

This is a really really great course ... and that the professors appear to really enjoy teaching and are fun fun to watch and learn from is an additional bonus. Keep up the great work!

Great course, great framework, thank you. But in my humble opinion, the lecture videos are too short. Lectures are generally divided into several videos, covered a lot of transitions.

It's really helpful to pull back and have a overall look at these algorithms. Especially, the professors gave a very clear talk and explanation which made this course more impressive.

This was a awesome moment for me it was really cool. The people of course era i love them .Thank you so much for financial aid. Keep supporting people like thank you thanks a lot!!!!

In my opinion, the course is well designed. I generate a rough idea about the basic concepts of machine learning through it. These concepts are important but made easy to understand.

Excellent overview of machine learning technique !

Even if the subject is complexe, it's easy to understand, and a good starting point to go deeper, as a deep human learning can be ;)

The course was up to the mark, the quality of the assignments and quiz was also good which created the course more interesting to learn and learned many new things with this course.

1. the lecture was very useful for me. it is helpful for me in my working field

2.i would recommend this lecture to my companies

3.I could understand Artificial Intelligent concepts