Kursteilnehmer-Bewertung und -Feedback für Practical Machine Learning von Johns Hopkins University
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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.
101 - 125 von 579 Bewertungen für Practical Machine Learning
von Susan M
•Excellent instruction followed up with projects to enable thorough understanding as well as ability to use the data science skillset.
von Nathan M
•Extremely useful class! Jeff also has many excellent suggestions for resources that will teach you even more about machine learning.
von Diandian Y
•a broad coverage of content and very intuitive explanation for different algorithm. Good start point to learn machine learning.
von Avizit C A
•A very good course giving brief descriptions and applications of some of the used statistical and machine learning algorithms.
von 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.
von Peter D
•One of my favorites in the series! What I have been waiting for building up the prerequisite knowledge. Enjoy the instructor!
von 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.
von Prakhar P
•This course introduces to the machine learning package caret. A solid launch pad into the exciting world of data analytics.
von Moisés E A
•Very good overview and straightforward explanations of the different methodologies of ML. Nice tips on how to do ML with R.
von 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.
von Sabitabrata M
•Good course. Good overview on Machine Learning. But to understand the concepts I had to consult external resources.
von Robert K
•A great introduction to machine learning and it does a good job building on the material from the previous classes.
von Pam M
•Good material, presented in an organized fashion. I was able to apply what I learned immediately in a work setting.
von Rahimullah S
•thank you, this class is very practical and informative. The projects are a little complicated but very practical.
von 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.
von Matthew S
•Good introduction to machine learning. Provides pretty comprehensive coverage of major algorithms and approaches.
von Samir G
•Excellent course, very practical !
I am very curious about the maths so I will add some specialized certifications
von Jay S
•Excellent introductory course to Machine Learning. Very informative materials. Prof. Leek is a great teacher.
von Billy J
•Excellent introduction to machine learning. I feel that I have a good basic foundation to start building upon.
von Muzaffar H
•Essential starter for budding data scientist. Learned the basics and at least have the idea on how to conduct.
von Douglas M
•Great practical whirlwind tour. Light on theory, however, but it's a good entry point to the field. Thumbs up!
von benjamin s
•Probably the most enjoyable course of the specialisation, more maths would improve the quality of the content
von Philippine R
•I learned so much in such a short period of time. Challenging, very hands on, great theoretical foundations!
von asma m
•The professor has a very clear lecture, brief and persistent comparing to others. I just love this course .
von Michael H
•Excellent breadth; only major issues have to do with Github challenges related to rendering HTML properly.
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