Machine learning algorithms : popular algorithms for data science and machine learning

By:

Bonaccorso, Giuseppe

Material type: Text

TextPublication details: Birmingham Packt Publishing Ltd 2017Edition: 1st edDescription: vi, 343pISBN:

9781785889622 (pbk.)

Subject(s):

DDC classification:

006.31 BON

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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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Book	Plaksha University Library	Computer science	006.31 BON (Browse shelf(Opens below))	Available		001717

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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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