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Causality, Correlation and Artificial Intelligence for Rational Decision Making
Tshilidzi Marwala
€ 108.28
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Description for Causality, Correlation and Artificial Intelligence for Rational Decision Making
Num Pages: 208 pages. BIC Classification: UYQ. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 255 x 173 x 19. Weight in Grams: 604.
Causality has been a subject of study for a long time. Often causality is confused with correlation. Human intuition has evolved such that it has learned to identify causality through correlation. In this book, four main themes are considered and these are causality, correlation, artificial intelligence and decision making. A correlation machine is defined and built using multi-layer perceptron network, principal component analysis, Gaussian Mixture models, genetic algorithms, expectation maximization technique, simulated annealing and particle swarm optimization. Furthermore, a causal machine is defined and built using multi-layer perceptron, radial basis function, Bayesian statistics and Hybrid Monte Carlo methods. Both these ... Read more
Causality has been a subject of study for a long time. Often causality is confused with correlation. Human intuition has evolved such that it has learned to identify causality through correlation. In this book, four main themes are considered and these are causality, correlation, artificial intelligence and decision making. A correlation machine is defined and built using multi-layer perceptron network, principal component analysis, Gaussian Mixture models, genetic algorithms, expectation maximization technique, simulated annealing and particle swarm optimization. Furthermore, a causal machine is defined and built using multi-layer perceptron, radial basis function, Bayesian statistics and Hybrid Monte Carlo methods. Both these ... Read more
Product Details
Publication date
2015
Publisher
World Scientific Publishing Singapore
Number of pages
208
Condition
New
Number of Pages
208
Format
Hardback
Place of Publication
Singapore, Singapore
ISBN
9789814630863
SKU
V9789814630863
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-1
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