Applied Artificial Intelligence: An Engineering Approach
- 1h 10m
- Bernhard G. Humm
- J. Ross Tech
- 2016
Why yet another book on Artificial Intelligence?
It is true that hundreds of publications on Artificial Intelligence (AI) have been published within the last decades - scientific papers and text books. Most of them focus on the theory behind AI solutions: logic, reasoning, statistical foundations, etc. However, little can be found on engineering AI applications.
Modern, complex IT applications are not built from scratch but by integrating off-the-shelf components: libraries, frameworks, and services. The same applies, of course, for AI applications. Over the last decades, numerous off-the-shelf components for AI base functionality such as logic, reasoning, and statistics have been implemented - commercial and open source. Integrating such components into user friendly, high-performance, and maintainable AI applications requires specific engineering skills. Applied Artificial Intelligence: An Engingeering Approach focuses on those skills.
In this Book
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Introduction
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Knowledge Representation
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AI Application Architecture
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Information Retrieval
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Natural Language Processing
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Machine Learning
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Computer Vision
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Conclusions
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Literature
