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.
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End Time: 2024-09-18T21:12:45.000Z
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EAN: 9780128213797
UPC: 9780128213797
ISBN: 9780128213797
MPN: N/A
Book Title: Practical Machine Learning for Data Analysis Using
Item Length: 23.5 cm
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
Subject: Computer Science
Publication Year: 2020
Type: Textbook
Item Weight: 1110 g
Number of Pages: 534 Pages
