
Data Science
Concepts and Practice
Description
Key Features
- Contains fully updated content on data science, including tactics on how to mine business data for information
- Presents simple explanations for over twenty powerful data science techniques
- Enables the practical use of data science algorithms without the need for programming
- Demonstrates processes with practical use cases
- Introduces each algorithm or technique and explains the workings of a data science algorithm in plain language
- Describes the commonly used setup options for the open source tool RapidMiner
Readership
Table of Contents
- 1. Introduction
2. Data Science Process
3. Data Exploration
4. Classification
5. Deep Learning
6. Regression Methods
7. Association Analysis
8. Recommendation Engines
9. Clustering
10. Text Mining (renamed to: Natural Language Processing)
11. Time Series Forecasting
12. Anomaly Detection
13. Feature Selection
14. Model Evaluation
15. Efficient Model Execution
16. Getting Started with RapidMiner
Product details
- No. of pages: 568
- Language: English
- Copyright: © Morgan Kaufmann 2018
- Published: November 27, 2018
- Imprint: Morgan Kaufmann
- Paperback ISBN: 9780128147610
- eBook ISBN: 9780128147627
About the Authors
Vijay Kotu
Affiliations and Expertise
Bala Deshpande
Affiliations and Expertise
Ratings and Reviews
Latest reviews
(Total rating for all reviews)
UsmanAhmed Fri Mar 08 2019
Good
Liked the book
Ernesto J. Mon Feb 25 2019
Best book for Analytics using RM
Great book, well explained concepts and software.
MirandaLintermans Wed Feb 13 2019
A great introduction
For someone who is not acquainted with Data Science it’s a great introduction. It’s an easy read and the tool Rapidminer is easy to use.