Kovera, Artem

Machine Learning with Clustering: A Visual Guide for Beginners with Examples in Python 3

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ISBN 13:
9781979086585
author:
Kovera, Artem
format:
Paperback
publisher:
Createspace Independent Publishing Platform
language:
English
Publication Year:
2017
Pages:
56
Dimensions:
27.9 x 21.6 x 0.4 centimetres (0
Genre:
Computers, Programming, Python,
Condition:
New
Availability:
Item usually sent within 5 working days
£13.80

Description

Clustering is a powerful technique used to simplify data processing by grouping similar elements together. This process can be applied in various fields, such as business and marketing, where it helps develop targeted strategies for different customer groups. For instance, clustering can identify the most popular products in a specific marketplace niche, enabling informed decisions about product production. In addition to its applications in business, clustering is also used in data compression and anomaly detection. By grouping similar items together, clustering algorithms can reduce the amount of data required for processing, making it an efficient technique for handling large datasets. Furthermore, clustering is used in image analysis and medical research to identify unusual patterns or anomalies. This book provides a visual guide to machine learning with clustering, using Python 3 as the programming language. With its practical examples and step-by-step approach, it's an ideal resource for beginners looking to learn about this important technique.

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