A concise introduction to machine learning

"Machine Learning is known by many different names, and is used in many areas of science. It is also used for a variety of applications, including spam filtering, optical character recognition, search engines, computer vision, NLP, advertising, fraud detection, robotics, data prediction, astron...

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Bibliographic Details
Main Author Faul, A. C. (Author)
Format Electronic eBook
LanguageEnglish
Published Boca Raton : CRC Press, Taylor and Francis Group, [2020]
SeriesChapman & Hall/CRC machine learning & pattern recognition series.
Subjects
Machine learning > Textbooks.
elektronické knihy
electronic books
Online AccessFull text
ISBN9781351204736
1351204734
9780815384205
9780815384106
9781351204750
1351204750
9781351204743
1351204742
9781351204729
1351204726
Physical Description1 online resource (xix, 314 pages).

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024 7 |a 10.1201/9781351204750  |2 doi 
035 |a (OCoLC)1111577914  |z (OCoLC)1303427494 
046 |k 2020  |2 edtf 
100 1 |a Faul, A. C.  |q (Anita C.),  |e author. 
245 1 2 |a A concise introduction to machine learning /  |c A.C. Faul. 
264 1 |a Boca Raton :  |b CRC Press, Taylor and Francis Group,  |c [2020] 
300 |a 1 online resource (xix, 314 pages). 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Chapman & Hall/CRC machine learning & pattern recognition 
500 |a "A Chapman & Hall book." 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a "Machine Learning is known by many different names, and is used in many areas of science. It is also used for a variety of applications, including spam filtering, optical character recognition, search engines, computer vision, NLP, advertising, fraud detection, robotics, data prediction, astronomy. Considering this, it can often be difficult to find a solution to a problem in the literature, simply because different words and phrases are used for the same concept. This class-tested textbook aims to alleviate this, using mathematics as the common language. It covers a variety of machine learning concepts from basic principles, and llustrates every concept using examples in MATLAB"--  |c Provided by publisher. 
504 |a Includes bibliographical references (pages 301-303) and index. 
505 0 |a Introduction -- Probability theory -- Sampling -- Linear classification -- Non-linear classification -- Dimensionality reduction -- Regression -- Feature learning. 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Machine learning  |v Textbooks. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
776 0 8 |i Print version:  |t A concise introduction to machine learning  |d Boca Raton : CRC Press, Taylor & Francis Group, [2020]  |z 9780815384205  |w (DLC) 2019015915 
830 0 |a Chapman & Hall/CRC machine learning & pattern recognition series. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpCIML000R/concise-introduction-to?kpromoter=marc  |y Full text 

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