python Python development environment in SublimeText4
Launch of Python development environment in SublimeText4 and VS code for digital transformation (DX), artificial intelligence (AI) and machine learning (ML) tasks
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Deux Ex Machina
python Clojure Setting up a Clojure development environment with SublimeText4 and VS code and LightTable
Launch of development environment in Sublimetext and VS code for Clojure language used for digital transformation (DX), artificial intelligence (AI) and machine learning (ML) tasks
旅 On the Road – Miura Peninsula Chronicles
Miura Peninsula and Kamakura Shogunate from Ryotaro Shiba's Kaido Yuku Minamoto no Yoritomo, Yokohama Prince Hotel, Atami, Kamakura, Mikasa Park, Asahina Cut-through, Miura Daikon, Enoshima, Tsurugaoka Hachimangu, Wakamiya-oji, Kanazawa Hakkei, Hiroshige Utagawa, Mt.
アート:Art Reading Haiku from a Haiku History and Communication Perspective
History of haiku (renga, Matsuo Basho, Yosa Buson, Kobayashi Issa, Masaoka Shiki, Takahama Kyoshi, Kawahigashi Hekigoto, Taneda Yamatoka, Ozaki Hoya) and reading haiku from a communication perspective (breaks, broken letters, seasonal words)
アルゴリズム:Algorithms Protected: Support Vector Machines for Weak Label Learning (1) Semi-supervised Learning
Weak label learning (semi-supervised learning where label information is given only for a subset of training cases) as an application of support vector machines utilized in digital transformation, artificial intelligence, and machine learning tasks
アルゴリズム:Algorithms Protected: Application of Variational Bayesian Algorithm to Matrix Decomposition Models
Variational Bayesian learning and empirical variational Bayesian learning algorithms for matrix factorization models as computational methods for stochastic generative models utilized in digital transformation , artificial intelligence , and machine learning tasks
アルゴリズム:Algorithms Protected: Computation of graphical models without hidden variables
Maximum likelihood, Bayesian, and variational computations of graphical models without hidden variables in probabilistic generative models utilized in digital truss formation, artificial intelligence, and machine learning tasks, learning by the pseudolikelihood function, Bethe approximation, parameter estimation by TRW upper bound, variational methods, entropy functions, IPF algorithm, MAP estimators
アルゴリズム:Algorithms Protected: Non-patometric Bayes and clustering (2) Stochastic model of partitioning and Dirichlet processes
Clustering using nonparametric Bayes, one of the applications of probabilistic generative models utilized in digital transformation, artificial intelligence, and machine learningtasks (Chinese restaurant process and Dirichlet process and concentration parameter estimation, bar-folding process)
アルゴリズム:Algorithms Stochastic Generative Models and Gaussian Processes(1) Basis of Stochastic Models
Stochastic generative models for digital transformation, artificial intelligence, and machine learning tasks and fundamentals of stochastic models to understand Gaussian processes (independence, conditional independence, simultaneous probability, peripheralization and graphical models)
仏教:Buddhism Mahayana Buddhism and the Prajnaparamita Sutra
Transformation of the concept of the sky from Theravada Buddhism, Theravada Buddhism, and Sakyamuni Buddhism (Agon Sutra) to Mahayana Buddhism (Prajnaparamita Sutra), Zen Buddhism (Soto, Rinzai, Obaku) and Esoteric Buddhism (Tendai, Shingon)