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
Product Images
Item Specifics
Return shipping will be paid by: Buyer
Returns Accepted: Returns Accepted
Item must be returned within: 60 Days
Return policy details:
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