
Practical Machine Learning for Data Analysis Using Python
Abdulhamit Subasi(Author)
Academic Press
Published on 7. June 2020
Book
Paperback/Softback
534 pages
978-0-12-821379-7 (ISBN)
Description
Practical Machine Learning for Data Analysis Using Python is a problem solver's guide for creating real-world intelligent systems. It provides a comprehensive approach with concepts, practices, hands-on examples, and sample code. The book teaches readers the vital skills required to understand and solve different problems with machine learning. It teaches machine learning techniques necessary to become a successful practitioner, through the presentation of real-world case studies in Python machine learning ecosystems. The book also focuses on building a foundation of machine learning knowledge to solve different real-world case studies across various fields, including biomedical signal analysis, healthcare, security, economics, and finance. Moreover, it covers a wide range of machine learning models, including regression, classification, and forecasting. The goal of the book is to help a broad range of readers, including IT professionals, analysts, developers, data scientists, engineers, and graduate students, to solve their own real-world problems.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
College/higher education
Researchers and graduate students in biomedical engineering, electrical and electronics engineering, computer science, biomedical informatics, as well as professionals in data science and data analytics
Product notice
Paperback (trade)
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 27 mm
Weight
909 gr
ISBN-13
978-0-12-821379-7 (9780128213797)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Abdulhamit Subasi
Practical Machine Learning for Data Analysis Using Python
E-Book
06/2020
Academic Press
€109.00
Available for download
Person
Abdulhamit Subasi is a highly specialized expert in the fields of Artificial Intelligence, Machine Learning, and Biomedical Signal and Image Analysis and Security. His extensive expertise in applying machine learning across diverse domains is evident in his numerous contributions, including the authorship of multiple book chapters, as well as the publication of a substantial body of research in esteemed journals and conferences.
Content
1. Introduction 2. Data preprocessing3. Machine learning techniques4. Classification examples for healthcare5. Other classification examples6. Regression examples7. Clustering examples