recommended for all the 21st centuary students who might be intrested to play with data in future or some kind of work related to make predictions systemically must have good knowledge of this course
Issues of every stage of the construction of learning machine model, as well as issues with several different machine learning methods are well and in fine yet very understandable detail explained.
By Nathan M•
Extremely useful class! Jeff also has many excellent suggestions for resources that will teach you even more about machine learning.
By Diandian Y•
a broad coverage of content and very intuitive explanation for different algorithm. Good start point to learn machine learning.
By Avizit C A•
A very good course giving brief descriptions and applications of some of the used statistical and machine learning algorithms.
By Dan K H•
Yet again an excellent course by Jeff, Roger and Brian. Thank you very much for a well layout course and some good excersizes.
By Peter D•
One of my favorites in the series! What I have been waiting for building up the prerequisite knowledge. Enjoy the instructor!
By andy p•
Great topic with a great instructor. Only wish the program was a little longer to spend some more time on some of the models.
By Prakhar P•
This course introduces to the machine learning package caret. A solid launch pad into the exciting world of data analytics.
By Moisés E A•
Very good overview and straightforward explanations of the different methodologies of ML. Nice tips on how to do ML with R.
By Daniiar B•
It lucks theory, but that's why it's called practical. Very hands on teaching method. Was a little bit hard to follow.
By Sabitabrata M•
Good course. Good overview on Machine Learning. But to understand the concepts I had to consult external resources.
By Robert K•
A great introduction to machine learning and it does a good job building on the material from the previous classes.
By Pam M•
Good material, presented in an organized fashion. I was able to apply what I learned immediately in a work setting.
By Rahimullah S•
thank you, this class is very practical and informative. The projects are a little complicated but very practical.
By BOUZENNOUNE Z E•
A Great course that should be taken along other books, tutorials, and papers, in order to get the most out of it.
By Matthew S•
Good introduction to machine learning. Provides pretty comprehensive coverage of major algorithms and approaches.
By Samir G•
Excellent course, very practical !
I am very curious about the maths so I will add some specialized certifications
By Jay S•
Excellent introductory course to Machine Learning. Very informative materials. Prof. Leek is a great teacher.
By Billy J•
Excellent introduction to machine learning. I feel that I have a good basic foundation to start building upon.
By MUZAFFAR B H -•
Essential starter for budding data scientist. Learned the basics and at least have the idea on how to conduct.
By Douglas M•
Great practical whirlwind tour. Light on theory, however, but it's a good entry point to the field. Thumbs up!
By benjamin s•
Probably the most enjoyable course of the specialisation, more maths would improve the quality of the content
By Philippine R•
I learned so much in such a short period of time. Challenging, very hands on, great theoretical foundations!
By asma m•
The professor has a very clear lecture, brief and persistent comparing to others. I just love this course .
By Michael H•
Excellent breadth; only major issues have to do with Github challenges related to rendering HTML properly.
this course is just awsome, with some basic knowledge of data manipulation anyone would enjoy this course.