Practical Machine Learning for Data Analysis Using Python (Paperback)

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.

General

Imprint:	Academic Press Inc
Country of origin:	United States
Release date:	June 2020
First published:	2020
Authors:	Abdulhamit Subasi
Dimensions:	235 x 191 x 31mm (L x W x T)
Format:	Paperback
Pages:	534
ISBN-13:	978-0-12-821379-7
Categories:	Books > Computing & IT > Applications of computing > Databases > Data capture & analysis Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Promotions
LSN:	0-12-821379-5
Barcode:	9780128213797

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