Practical Machine Learning for Data Analysis Using Python

Practical Machine Learning for Data Analysis Using Python
by:Abdulhamit Subasi
pages 页数：534 pages
Publisher Finelybook 出版社：Academic Press (21 Jun. 2020)
Language 语言：English
ISBN-10 书号：0128213795
ISBN-13 书号：9780128213797

Book 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.