關於這本電子書
In the fields of artificial intelligence and philosophy, case-based reasoning (CBR) refers to the method of finding answers to new problems by analyzing the resolutions of problems that are analogous to those that have been encountered in the past.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Case-based reasoning
Chapter 2: Search algorithm
Chapter 3: Machine learning
Chapter 4: Natural-language understanding
Chapter 5: Symbolic artificial intelligence
Chapter 6: Learning classifier system
Chapter 7: Reasoning system
Chapter 8: Inductive reasoning
Chapter 9: History of natural language processing
Chapter 10: Outline of machine learning
(II) Answering the public top questions about case based reasoning.
(III) Real world examples for the usage of case based reasoning in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of case based reasoning' technologies.
Who This Book Is For
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of case based reasoning.
