Readings from programing with python /
Mcmullen, Kyla author
Readings from programing with python / Kyla Mcmullen, Elizabeth Matthews & June Jamrich Parsons - Boston : Cengage Learning Inc. ; 2023. - xii, 533 pages ; ill. col, tables ; 24 cm
includes bibliographical references and appendices.
"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.
9780357637456
Python (Computer program language)
Machine learning.
Computer algorithms.
Computer Studies, College of.--Readings from programing with python.
(CCS) QA76.73.P98 / 2023 M478
Readings from programing with python / Kyla Mcmullen, Elizabeth Matthews & June Jamrich Parsons - Boston : Cengage Learning Inc. ; 2023. - xii, 533 pages ; ill. col, tables ; 24 cm
includes bibliographical references and appendices.
"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.
9780357637456
Python (Computer program language)
Machine learning.
Computer algorithms.
Computer Studies, College of.--Readings from programing with python.
(CCS) QA76.73.P98 / 2023 M478