Description: Practical Machine Learning for Data Analysis Using Python, Paperback by Subasi, Abdulhamit, ISBN 0128213795, ISBN-13 9780128213797, Like New Used, Free P&P in the UK 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. Th 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. Th 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 th 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. Offers a comprehensive overview of the application of machine learning tools in data analysis across a wide range of subject areas Teaches readers how to apply machine learning techniques to biomedical signals, financial data, and healthcare data Explores important classification and regression algorithms as well as other machine learning techniques Explains how to use Python to handle data extraction, manipulation, and exploration techniques, as well as how to visualize data spread across multiple dimensions and extract useful features
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Book Title: Practical Machine Learning for Data Analysis Using Python
Item Height: 235 mm
Item Width: 191 mm
Author: Abdulhamit Subasi
Publication Name: Practical Machine Learning for Data Analysis Using Python
Format: Paperback
Language: English
Publisher: Elsevier Science Publishing Co INC International Concepts
Subject: Computer Science
Publication Year: 2020
Type: Textbook
Item Weight: 1110 g
Number of Pages: 534 Pages