ClaudiusML Updated 
ML (Machine Learning)
4. Semester: Datamatician Course (Computer Science)

 

Literature

 

Compulsory and primary book links etc.

Aurélien Géron
Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow (ML)
Ch. 1, 2, 3, 4, 5, 9, 6, 7, (8), (10)
 New
2nd edition, O’Reilly 2019
ISBN 978-1-492-03264-9
Online link to book

List of useful links and videos

Machine Learning A-Z™: Hands-On Python & R In Data Science
Online course on ML, 10 Euro !

 

Secondary books, not compulsory

Oliver Theobald
Machine Learning for Absolute Beginners (OLML)
Ch. 1-10
Pearson 2018
ISBN-10:  1549617214
ISBN-13: 978-1549617218
Onlinelink to book

Andriy Burkov
The Hundred-Page Machine Learning Book
Publisher: Andriy Burkov (13 Jan. 2019)
ISBN-10: 199957950X
ISBN-13: 978-1999579500

A lot of free books, from Springer Vorlag, BUT look careful at the year of publication.
Some subjects can be covered well also in older books others not !
https://towardsdatascience.com/springer-has-released-65-machine-learning-and-data-books-for-free-961f8181f189


 

Further more online documentaton as given on the weekly plans.

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