確率・統計:Probability and Statistics

機械学習:Machine Learning

Protected: Bayesian Estimation and Information Theory

Bayesian estimation and information theory for artificial intelligence (AI), machine learning (ML), and natural language processing (NLP), from de Moivre's probability theory to Bayesian probability and Shannon's information engineering and tools for Bayesian estimation (STAN)
2021.03.17
機械学習:Machine Learning確率・統計:Probability and Statistics
機械学習:Machine Learning

Integration of probability and logic (1) Bayesian Net, KBMC, PRM and SRL

Integration of probability and logic, automatic generation of Bayesian nets using knowledge base (KBMC), prolog, backward reasoning
2021.03.17
機械学習:Machine Learning確率・統計:Probability and Statistics
幾何学:Geometry

Fundamentals of Computer Mathematics

Overview of computer mathematics as a basis for artificial intelligence and machine learning techniques, functions, sets, probability, simultaneous equations, differentiation, and integration.
2021.03.17
幾何学:Geometry微分積分:Calculus数理論理学:Mathematical logic最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra集合論:Set theory
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