Practical Machine Learning for Data Analysis Using Python

• Main Author: Subasi, Abdulhamit
• Format: eBook Book
• Language: English
• Published: London Elsevier 2020; Academic Press; Elsevier Science & Technology
• Edition: 1
• Subjects: Data mining; General Engineering & Project Administration; General References; Machine learning; Python (Computer program language)
• ISBN: 0128213795; 9780128213797
• DOI: 10.1016/B978-0-12-821379-7.00008-4

This book 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.