Applying Data Science: How to Create Value with Artificial Intelligence

✍ Scribed by Arthur K. Kordon

• Publisher: Springer International Publishing;Springer
• Year: 2020
• Tongue: English
• Leaves: 511
• Edition: 1st ed.
• Category: Library

✦ Synopsis

This book offers practical guidelines on creating value from the application of data science based on selected artificial intelligence methods.

In Part I, the author introduces a problem-driven approach to implementing AI-based data science and offers practical explanations of key technologies: machine learning, deep learning, decision trees and random forests, evolutionary computation, swarm intelligence, and intelligent agents. In Part II, he describes the main steps in creating AI-based data science solutions for business problems, including problem knowledge acquisition, data preparation, data analysis, model development, and model deployment lifecycle. Finally, in Part III the author illustrates the power of AI-based data science with successful applications in manufacturing and business. He also shows how to introduce this technology in a business setting and guides the reader on how to build the appropriate infrastructure and develop the required skillsets.

The book is ideal for data scientists who will implement the proposed methodology and techniques in their projects. It is also intended to help business leaders and entrepreneurs who want to create competitive advantage by using AI-based data science, as well as academics and students looking for an industrial view of this discipline.

✦ Table of Contents

Front Matter ....Pages i-xxxii
Front Matter ....Pages 1-1
Data Science Based on Artificial Intelligence (Arthur K. Kordon)....Pages 3-37
Business Problems Dependent on Data (Arthur K. Kordon)....Pages 39-67
Artificial Intelligence-Based Data Science Solutions (Arthur K. Kordon)....Pages 69-122
Integrate and Conquer (Arthur K. Kordon)....Pages 123-159
The Lost-in-Translation Trap (Arthur K. Kordon)....Pages 161-185
Front Matter ....Pages 187-187
The AI-Based Data Science Workflow (Arthur K. Kordon)....Pages 189-202
Problem Knowledge Acquisition (Arthur K. Kordon)....Pages 203-219
Data Preparation (Arthur K. Kordon)....Pages 221-249
Data Analysis (Arthur K. Kordon)....Pages 251-281
Model Development (Arthur K. Kordon)....Pages 283-313
The Model Deployment Life Cycle (Arthur K. Kordon)....Pages 315-350
Front Matter ....Pages 351-351
Infrastructure (Arthur K. Kordon)....Pages 353-363
People (Arthur K. Kordon)....Pages 365-386
Applications of AI-Based Data Science in Manufacturing (Arthur K. Kordon)....Pages 387-412
Applications of AI-Based Data Science in Business (Arthur K. Kordon)....Pages 413-432
How to Operate AI-Based Data Science in a Business (Arthur K. Kordon)....Pages 433-451
How to Become an Effective Data Scientist (Arthur K. Kordon)....Pages 453-481
Back Matter ....Pages 483-494

✦ Subjects

Computer Science; Big Data/Analytics; Data Mining and Knowledge Discovery; Big Data; Computational Intelligence