Produktbild: Python Machine Learning Case Studies

Python Machine Learning Case Studies

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80,24 €

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Five Case Studies for the Data Scientist

ISBN: 1484228227
ISBN 13: 9781484228227
Autor: Haroon, Danish
Verlag: APress
Umfang: xvii, 204 S., 21 s/w Illustr., 99 farbige Illustr., 204 p. 120 illus., 99 illus. in color.
Erscheinungsdatum: 29.10.2017
Auflage: 1/2018
Produktform: Kartoniert
Einband: Kartoniert

Embrace machine learning approaches and Python to enable automatic rendering of rich insights. 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 Study 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 presented. 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. You will: Gain insights into machine learning concepts  Work on realworld applications of machine learning Get a handson overview to Python from a machine learning point of view

Artikelnummer: 2157668 Kategorie:

Beschreibung

Applies a case study-based approach to machine learning Gives you  insights into the core concepts of machine learning and optimization techniques Uses Python as an aid to implement machine learning

Autorenporträt

Danish Haroon currently leads the Data Sciences team at Market IQ Inc, a patented predictive analytics platform focused on providing actionable, real-time intelligence, culled from sentiment inflection points. He received his MBA from Karachi School for Business and Leadership, having served corporate clients and their data analytics requirements. Most recently, he led the data commercialization team at PredictifyME, a startup focused on providing predictive analytics for demand planning and real estate markets in the US market. His current research focuses on the amalgam of data sciences for improved customer experiences (CX).

Herstellerkennzeichnung:


APress in Springer Science + Business Media
Heidelberger Platz 3
14197 Berlin
DE

E-Mail: juergen.hartmann@springer.com

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