Machine Learning Algorithms : Popular Algorithms for Data Science and Machine Learning, 2nd Edition.

Machine learning explores the study and construction of algorithms that can learn from and make predictions on data. This book will act as an entry point for anyone who wants to make a career in Machine Learning. It covers algorithms like Linear regression, Logistic Regression, SVM, Naïve Bayes, K-...

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Bibliographic Details
Main Author: Bonaccorso, Giuseppe.
Format: eBook
Language: English
Published: Birmingham : Packt Publishing Ltd, 2018.
Edition: 2nd ed.
Subjects:
ISBN: 9781789345483
1789345480
1789347998
9781789347999
Physical Description: 1 online resource (514 pages)

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Summary: Machine learning explores the study and construction of algorithms that can learn from and make predictions on data. This book will act as an entry point for anyone who wants to make a career in Machine Learning. It covers algorithms like Linear regression, Logistic Regression, SVM, Naïve Bayes, K-Means, Random Forest, and Feature engineering.
Item Description: Introducing semi-supervised Support Vector Machines (S3VM).
ISBN: 9781789345483
1789345480
1789347998
9781789347999
Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty