Data Science
Concepts and Practice
by Vijay Kotu, Bala Deshpande
2nd Edition
Publisher: Morgan Kaufmann
Book Details
| Print ISBN | 9780128147610 |
| eText ISBN | 9780128147627 |
| Publisher | Morgan Kaufmann |
| Publishing Year | 2018 |
| Edition | 2nd Edition |
| Language | English |
| Pages | 568 |
Data Science: Concepts and Practice, 2nd Edition, is a textbook that introduces core concepts and the inner workings of 30 widely used data science algorithms and over twenty analytical techniques. The text explains these methods in plain language to help readers extract information from business data without requiring programming.
Coverage spans foundational workflow steps and modeling approaches, including data exploration, classification, regression methods, and deep learning. The book also examines recommendation engines, clustering, association analysis, anomaly detection, and time series forecasting.
To support hands-on learning, the text demonstrates a step-by-step data science process through the open-source RapidMiner graphical user interface platform. It serves students and instructors in data science courses as well as workplace business and analytics professionals.
Table of Contents
Chapter 1: Introduction
Chapter 2: Data Science Process
Chapter 3: Data Exploration
Chapter 4: Classification
Chapter 5: Deep Learning
Chapter 6: Regression Methods
Chapter 7: Association Analysis
Chapter 8: Recommendation Engines
Chapter 9: Clustering
Chapter 10: Text Mining (renamed to: Natural Language Processing)
Chapter 11: Time Series Forecasting
Chapter 12: Anomaly Detection
Chapter 13: Feature Selection
Chapter 14: Model Evaluation
Chapter 15: Efficient Model Execution
Chapter 16: Getting Started with RapidMiner
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