machine learning

Uncategorized

Evaluation of clustering for familiarization with k-means

On the evaluation of clustering around k-means for digital transformation, artificial intelligence, and machine learning tasks curse of dimensionality, Mahalanobis distance, Davies-Bouldin index, Dunn index, squared error, RSME, cluster number estimation, inter-cluster density, intra-cluster density
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
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.
タイトルとURLをコピーしました