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Data Driven Decision Making Using Analytics, Hardcover by Gandhi, Parul (EDT)...

Description: Data Driven Decision Making Using Analytics, Hardcover by Gandhi, Parul (EDT); Bhatia, Surbhi (EDT); Dev, Kapal (EDT), ISBN 1032058277, ISBN-13 9781032058276, Like New Used, Free shipping in the US "This book aims to explain Data Analytics towards decision making in terms of models and algorithms, theoretical concepts, applications, experiments in relevant domains or focused on specific issues. It explores the concepts of database technology, machine learning, knowledge-based system, high performance computing, information retrieval, finding patterns hidden in large datasets and data visualization. Also, it presents various paradigms including pattern mining, clustering, classification, and data analysis. Overall aim is to provide technical solutions in the field of data analytics and data mining. Features: Covers descriptive statistics with respect to predictive analytics and business analytics. Discusses different data analytics platforms for real-time applications. Explain SMART business models. Includes algorithms in data sciences alongwith automated methods and models. Explores varied challenges encountered by researchers and businesses in the realm of real-time analytics. This book aims at researchers and graduate students in data analytics, data sciences, data mining, and signal processing"--

Price: 136.94 USD

Location: Jessup, Maryland

End Time: 2024-12-16T00:45:20.000Z

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Data Driven Decision Making Using Analytics, Hardcover by Gandhi, Parul (EDT)...

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Return shipping will be paid by: Buyer

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Item must be returned within: 14 Days

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Book Title: Data Driven Decision Making Using Analytics

Number of Pages: 138 Pages

Publication Name: Data Driven Decision Making Using Analytics

Language: English

Publisher: CRC Press LLC

Subject: General, Electrical, Databases / Data Mining, Software Development & Engineering / Systems Analysis & Design

Publication Year: 2021

Type: Textbook

Item Weight: 18.4 Oz

Author: Surbhi Bhatia

Item Length: 9.2 in

Subject Area: Computers, Technology & Engineering

Series: Computational Intelligence Techniques Ser.

Item Width: 6.1 in

Format: Hardcover

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