Practical Machine Learning for Data Analysis Using Python
By 作者:Abdulhamit Subasi
pages 页数: 534 pages
Publisher Finelybook 出版社: Academic Press (21 Jun. 2020)
Language 语言: English
Book Description to Finelybook sorting
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.
Practical Machine Learning for Data Analysis Using Python 9780128213797.pdf