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Data Science: Concepts and Practice by Vijay

Description: Learn the basics of Data Science through an easy to understand conceptual framework and immediately practice using RapidMiner platform. Whether you are brand new to data science or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Data Science has become an essential tool to extract value from data for any organization that collects, stores and processes data as part of its operations. This book is ideal for business users, data analysts, business analysts, engineers, and analytics professionals and for anyone who works with data. You’ll be able to: Gain the necessary knowledge of different data science techniques to extract value from data. Master the concepts and inner workings of 30 commonly used powerful data science algorithms. Implement step-by-step data science process using using RapidMiner, an open source GUI based data science platform Data Science techniques covered: Exploratory data analysis, Visualization, Decision trees, Rule induction, k-nearest neighbors, Naïve Bayesian classifiers, Artificial neural networks, Deep learning, Support vector machines, Ensemble models, Random forests, Regression, Recommendation engines, Association analysis, K-Means and Density based clustering, Self organizing maps, Text mining, Time series forecasting, Anomaly detection, Feature selection and more...

Price: 86.64 AUD

Location: Hillsdale, NSW

End Time: 2024-11-16T15:22:33.000Z

Shipping Cost: 33.01 AUD

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Data Science: Concepts and Practice by VijayData Science: Concepts and Practice by Vijay

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EAN: 9780128147610

UPC: 9780128147610

ISBN: 9780128147610

MPN: N/A

Book Title: Data Science: Concepts and Practice by Vijay

Item Length: 23.5 cm

Item Height: 235 mm

Item Width: 191 mm

Author: Vijay Kotu, Bala Deshpande

Publication Name: Data Science: concepts and Practice

Format: Paperback

Language: English

Publisher: Elsevier Science & Technology

Subject: Computer Science

Publication Year: 2018

Type: Textbook

Item Weight: 1090 g

Number of Pages: 568 Pages

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