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010 a| 2021018509;

020 a| 9781536195125;

020 z| 9781536196153q| (adobe pdf);

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049 a| EREEa| NEHH;

050 00 a| QA76.73.P98b| S265 2021;

082 00 a| 005.13/32| 23;

100 1 a| Sakarkar, Gopal.?| UNAUTHORIZED;

245 10 a| Machine learning algorithms using Python programmingh| [electronic resource] /c| Gopal Sakarkar, Gaurav Patil and Prateek Dutta.;

260 a| New York :b| Nova Science Publishers,c| 2021.;

300 a| xii, 170 pages :b| illustrations, maps ;c| 23 cm;

490 0 a| Internet of things and machine learning;

504 a| Includes bibliographical references and index.;

506 a| Available only to authorized users.;

520 a| "The machine learning field is concerned with the question of how to create computer programs that automatically improve information. In recent years, many successful electronic learning applications have been made, from data mining systems that learn to detect fraudulent credit card transactions, filtering programs that learn user readings, to private cars that learn to drive on public highways. At the same time, there have been significant developments in the concepts and algorithms that form the basis for this field. Machine learning is programming computers to optimize a performance criterion using example data or past experience. The goal of this textbook is to present the key concepts of Machine Learning which includes Python concepts and Interpreter, Foundation of Machine Learning, Data Pre-processing, Supervised Machine Learning, Unsupervised Machine Learning, Reinforcement Learning, Kernel Machine, Design and analysis of Machine Learning experiment and Data visualization. The theoretical concepts along with coding implementation are covered. This book aims to pursue a middle ground between a theoretical textbook and one that focuses on applications. The book concentrates on the important ideas in machine learning"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

650 0 a| Python (Computer program language)=| ^A809520;

650 0 a| Machine learning.=| ^A145211;

650 0 a| Computer algorithms.=| ^A285321;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Patil, Gaurav.?| UNAUTHORIZED;

700 1 a| Dutta, Prateek.?| UNAUTHORIZED;

856 40 z| Full text available from Ebook Central - Academic Completeu| https://ebookcentral.proquest.com/lib/eastcarolina/detail.action?docID=6565012;

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Machine learning algorithms using Python programming / Gopal Sakarkar, Gaurav Patil and Prateek Dutta.

Author/creator	Sakarkar, Gopal
Other author	Patil, Gaurav.
Other author	Dutta, Prateek.
Format	Electronic
Publication Info	New York : Nova Science Publishers, 2021.
Description	xii, 170 pages : illustrations, maps ; 23 cm
Supplemental Content	Full text available from Ebook Central - Academic Complete
Subjects	Python (Computer program language) Machine learning. Computer algorithms.

Series	Internet of things and machine learning
Abstract	"The machine learning field is concerned with the question of how to create computer programs that automatically improve information. In recent years, many successful electronic learning applications have been made, from data mining systems that learn to detect fraudulent credit card transactions, filtering programs that learn user readings, to private cars that learn to drive on public highways. At the same time, there have been significant developments in the concepts and algorithms that form the basis for this field. Machine learning is programming computers to optimize a performance criterion using example data or past experience. The goal of this textbook is to present the key concepts of Machine Learning which includes Python concepts and Interpreter, Foundation of Machine Learning, Data Pre-processing, Supervised Machine Learning, Unsupervised Machine Learning, Reinforcement Learning, Kernel Machine, Design and analysis of Machine Learning experiment and Data visualization. The theoretical concepts along with coding implementation are covered. This book aims to pursue a middle ground between a theoretical textbook and one that focuses on applications. The book concentrates on the important ideas in machine learning"-- Provided by publisher.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2021018509
ISBN	9781536195125
ISBN	(adobe pdf)

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Machine learning algorithms using Python programming / Gopal Sakarkar, Gaurav Patil and Prateek Dutta.

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