Applying Data Science How to Create Value with Artificial Intelligence /
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: mach...
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| Language: | English |
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Cham :
Springer International Publishing : Imprint: Springer,
2020.
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| Edition: | 1st ed. 2020. |
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| Online Access: | https://doi.org/10.1007/978-3-030-36375-8 |
Table of Contents:
- Part I, From Business Problems to Data Science
- Data Science Based on Artificial Intelligence
- Business Problems Dependent on Data
- Artificial Intelligence-Based Data Science Solutions
- Integrate and Conquer
- The Lost-in-Translation Trap
- Part II, The AI-Based Data Science Toolbox
- The AI-Based Data Science Workflow
- Problem Knowledge Acquisition
- Data Preparation
- Data Analysis
- Model Development
- The Model Deployment Life Cycle
- Part III, AI-Based Data Science in Action
- Infrastructure
- People
- Applications of AI-Based Data Science in Manufacturing
- Applications of AI-Based Data Science in Business
- How to Operate AI-Based Data Science in a Business
- How to Become an Effective Data Scientist
- Glossary.