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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning

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Python Machine Learning Case Studies - Five Case Studies for the Data Scientist (Paperback, 1st ed.) Loot Price: R946
Discovery Miles 9 460
Python Machine Learning Case Studies - Five Case Studies for the Data Scientist (Paperback, 1st ed.): Danish Haroon

Python Machine Learning Case Studies - Five Case Studies for the Data Scientist (Paperback, 1st ed.)

Danish Haroon

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Loot Price R946 Discovery Miles 9 460 | Repayment Terms: R87 pm x 12*

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Embrace machine learning approaches and Python to enable automatic rendering of rich insights and solve business problems. The book uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines will enable your business processes to achieve efficiencies on minimal time and resources. Python Machine Learning Case Studies takes you through the steps to improve business processes and determine the pivotal points that frame strategies. You'll see machine learning techniques that you can use to support your products and services. Moreover you'll learn the pros and cons of each of the machine learning concepts to help you decide which one best suits your needs. By taking a step-by-step approach to coding in Python you'll be able to understand the rationale behind model selection and decisions within the machine learning process. The book is equipped with practical examples along with code snippets to ensure that you understand the data science approach to solving real-world problems. What You Will Learn Gain insights into machine learning concepts Work on real-world applications of machine learning Learn concepts of model selection and optimization Get a hands-on overview of Python from a machine learning point of view Who This Book Is For Data scientists, data analysts, artificial intelligence engineers, big data enthusiasts, computer scientists, computer sciences students, and capital market analysts.

General

Imprint: Apress
Country of origin: United States
Release date: October 2017
First published: 2017
Authors: Danish Haroon
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 204
Edition: 1st ed.
ISBN-13: 978-1-4842-2822-7
Categories: Books > Computing & IT > Computer programming > General
Books > Computing & IT > Internet > Internet languages > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN: 1-4842-2822-7
Barcode: 9781484228227

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