Original PDF Ebook – Data Science2nd EditionConcepts and Practice – 9780128147610

Original PDF Ebook – Data Science2nd EditionConcepts and Practice – 9780128147610

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._x000D_
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._x000D_
You’ll be able to:_x000D_
Gain the necessary knowledge of different data science techniques to extract value from data._x000D_
Master the concepts and inner workings of 30 commonly used powerful data science algorithms._x000D_
Implement step-by-step data science process using using RapidMiner, an open source GUI based data science platform_x000D_
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…_x000D_
Contains fully updated content on data science, including tactics on how to mine business data for information_x000D_
Presents simple explanations for over twenty powerful data science techniques_x000D_
Enables the practical use of data science algorithms without the need for programming_x000D_
Demonstrates processes with practical use cases_x000D_
Introduces each algorithm or technique and explains the workings of a data science algorithm in plain language_x000D_
Describes the commonly used setup options for the open source tool RapidMiner