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