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.
автор: Laro N P•
Good course, I miss more practice exercise because theory is always welcome but when we are capable to understand is doing real practice.
автор: Sanjay J•
Fantastic course, and loved the hand's on projects and assignments. Good course to practically get started in machine learning using 'R'
автор: Gustavo S•
Very nice course, well-explained, sometimes a little bit fast if you dont have the luck of having previous knowledge.
автор: Susan M•
Excellent instruction followed up with projects to enable thorough understanding as well as ability to use the data science skillset.
автор: Nathan M•
Extremely useful class! Jeff also has many excellent suggestions for resources that will teach you even more about machine learning.
автор: Diandian Y•
a broad coverage of content and very intuitive explanation for different algorithm. Good start point to learn machine learning.
автор: Avizit C A•
A very good course giving brief descriptions and applications of some of the used statistical and machine learning algorithms.
автор: 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.
автор: Peter D•
One of my favorites in the series! What I have been waiting for building up the prerequisite knowledge. Enjoy the instructor!
автор: 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.
автор: Prakhar P•
This course introduces to the machine learning package caret. A solid launch pad into the exciting world of data analytics.
автор: Moisés E A•
Very good overview and straightforward explanations of the different methodologies of ML. Nice tips on how to do ML with R.
автор: 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.
автор: Sabitabrata M•
Good course. Good overview on Machine Learning. But to understand the concepts I had to consult external resources.
автор: Robert K•
A great introduction to machine learning and it does a good job building on the material from the previous classes.
автор: Pam M•
Good material, presented in an organized fashion. I was able to apply what I learned immediately in a work setting.
автор: Rahimullah S•
thank you, this class is very practical and informative. The projects are a little complicated but very practical.
автор: 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.
автор: Matt S•
Good introduction to machine learning. Provides pretty comprehensive coverage of major algorithms and approaches.
автор: Samir G•
Excellent course, very practical !
I am very curious about the maths so I will add some specialized certifications
автор: Jay S•
Excellent introductory course to Machine Learning. Very informative materials. Prof. Leek is a great teacher.
автор: Billy J•
Excellent introduction to machine learning. I feel that I have a good basic foundation to start building upon.
автор: Muzaffar H•
Essential starter for budding data scientist. Learned the basics and at least have the idea on how to conduct.
автор: Douglas M•
Great practical whirlwind tour. Light on theory, however, but it's a good entry point to the field. Thumbs up!
автор: benjamin s•
Probably the most enjoyable course of the specialisation, more maths would improve the quality of the content