Artificial Intelligence and Marketing H 298 p. 19
Seligman, James 著
目次
About the Author, Preface, Objectives, SECTION ONE: Artificial Intelligence, Chapter 1 Overview, Chapter 2 Goals, 2.1 Reasoning, problem solving, 2.2 Knowledge representation, 2.3 Planning, 2.4 Learning, 2.5 Natural language processing, 2.6 Perception, 2.7 Motion and manipulation, 2.8 Social intelligence, 2.9 Creativity, 2.10 General intelligence, Chapter 3 Approaches, 3.1 Cybernetics and brain simulation, 3.2 Symbolic, 3.3 Sub-symbolic, 3.4 Statistical, 3.5 Integrating the approaches, Chapter 4 Tools, 4.1 Search and optimization, 4.2 Logic, 4.3 Probabilistic methods for uncertain reasoning, 4.4 Classifiers and statistical learning methods, 4.5 Neural networks, 4.6 Deep feedforward neural networks, 4.7 Deep recurrent neural networks, 4.8 Control theory, 4.9 Languages, 4.10 Evaluating progress, Chapter 5 Applications, 5.1 Competitions and prizes, 5.2 Healthcare, 5.3 Automotive, 5.4 Finance, 5.5 Video games, Chapter 6 Platforms, 6.1 Partnership on AI, Chapter 7 Philosophy and ethics, 7.1 The limits of artificial general intelligence, 7.2 Potential risks and moral reasoning, 7.3 Machine consciousness, sentience and mind, 7.4 Superintelligence, References, SECTION TWO: MACHINE LEARNING, Chapter 8 Overview, 8.1 Types of problems and tasks, Chapter 9 History and relationships to other fields, 9.1 Relation to statistics, Chapter 10 Theory, Chapter 11 Approaches, 11.1 Decision tree learning, 11.2 Association rule learning, 11.3 Artificial neural networks, 11.4 Deep learning, 11.5 Inductive logic programming, 11.6 Support vector machines, 11.7 Clustering, 11.8 Bayesian networks, 11.9 Reinforcement learning, 11.10 Representation learning, 11.11 Similarity and metric learning, 11.12 Sparse dictionary learning, 11.13 Genetic algorithms, 11.14 Rule-based machine learning, Chapter 12 Applications, Chapter 13 Model assessments, Chapter 14 Ethics, Chapter 15 Software, 15.1 Free and open-source software, 15.2 Proprietary software with free and open-source editions, 15.3 Proprietary software, 15.4 Machine Learning Future in Marketing, References, Bibliography and Reading, Index.
カート
カートに商品は入っていません。