Practical Machine Learning for Data Analysis Using Python


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


Book Description
By finelybook

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.
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