PHP Composer and SemanticMediaWiki
PHP framework composer used for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) tasks and semantic mediawki using them
machine learning
PHP javascript BotMan, a production-oriented chatbot system using PHP/Laravel
Overview of open source chatbot systems used for digital transformation, artificial intelligence, and machine learning tasks and implementation of BotMan, a production-oriented chatbot system using PHP/Laravel
Clojure Probabilistic Programming with Clojure
Probabilistic programming with Clojure.Anglican utilized for digital transformation, artificial intelligence, and machine learning tasks gorilla-repl, Stan, BUGS, Picture, Turing, Gen, PyStan PyMC, pomegranater, Lea, bayesloop, Edward, Tensorflow Probability, Pyro, BLOG, Dyna, ProbLog, Church, Anglican, Distributions
Symbolic Logic Modeling that combines probability and logic (2) PLL (Probabilistic Logical Learning)
Fusion modeling of probability and logic Probabilistic Logical Learning, ILP, PRISM used for digital transformation, artificial intelligence, and machine learning tasks.
アルゴリズム:Algorithms Protected: Replica Exchange Monte Carlo and Multicanonical Methods
On replica exchange Monte Carlo and multi-canonical methods, which are algorithms to avoid falling into local solutions in Markov chain Monte Carlo methods used for digital transformation, artificial intelligence, and machine learning tasks.
数理論理学:Mathematical logic Overview of Set Theory and Reference Books
What are sets for digital transformation, artificial intelligence, and machine learning task utilization for first-time learners Cantor's set theory, intuitionistic logic, quantum logic, topological spaces, Grothendieck, Goeter, Cohen, unreachable numbers, measurable numbers, axiom of determination, Frenkel's substitution axiom, von Neumann's regularity axiom, axiomatic set theory, BG set theory, Zermelo set theory, Cantor's diagonal theory reading notes
アルゴリズム:Algorithms Protected: Overview and history of the banded problem and its relationship to reinforcement learning/online learning
Overview and history of bandit problems utilized in digital transformation, artificial intelligence, and machine learning tasks and their relationship to reinforcement learning online learning
アルゴリズム:Algorithms Protected: Application of Variational Bayesian Algorithm to Mixed Gaussian Distribution Models
Application of variational Bayesian algorithms to mixed Gaussian distribution models for the computation of stochastic generative models utilized in digital transformation, artificial intelligence, and machine learning tasks (Dirichlet distribution, isotropic Gaussian distribution, free energy calculation)
アルゴリズム:Algorithms Protected: Specific examples of graphical models
Computation of specific graphical models such as Boltzmann Machines, Mean Field Approximation, Bethe Approximation, Hidden Markov Models, Bayesian Hidden Markov Models, etc. as probabilistic generative models utilized in digital transformation, artificial intelligence and machine learning tasks.
アルゴリズム:Algorithms Protected: Nonparametric Bayesian Applications to Factor Analysis and Sparse Modeling
Nonparametric Bayesian models, one of the applications of probabilistic generative models utilized in digital transformation, artificial intelligence, and machine learning tasks, for factor analysis and sparse modeling (infinite latent feature model, beta-Bernoulli distribution model, Indian cuisine buffet process, binary matrix generation process)