web技術:web technology Examples of specific server implementations in various languages
Artificial Intelligence Machine Learning Digital Transformation Clojure Python PHP C/C++ Java Javascript Programming Ov...
ICT技術:ICT Technology
web技術:web technology アルゴリズム:Algorithms Example implementation for general time series analysis using R or Python
Machine Learning Artificial Intelligence Digital Transformation ICT Sensor Data & IOT ICT Infrastructure Stream Data...
C/C++ How to create code development environments in various languages
Artificial Intelligence Machine Learning Digital Transformation Ontology Technology Prolog LISP Intelligent information ...
プログラミング言語:Programming Language Examples of data file input/output implementations in various languages
Artificial Intelligence Machine Learning Digital Transformation Ontology Technology Prolog LISP Intelligent information ...
C/C++ Examples of iteration and branching implementations in various languages
Artificial Intelligence Machine Learning Digital Transformation Clojure Python PHP R language C/C++ Java Javascript Pro...
python Overview of machine learning and data analysis in Python and introduction to typical libraries
Commentary on libraries and reference books on data analysis using Pyhon, which is used for digital transformation and artificial intelligence
Clojure Clojure, Type System and SPEC
Artificial Intelligence Machine Learning Digital Transformation Ontology Technology Clojure Natural Language Processing ...
ICT技術:ICT Technology Overview of Git and easy usage and reference books
Machine Learning Artificial Intelligence Digital Transformation User Interface and DataVisualization Workflow & Ser...
アルゴリズム:Algorithms Protected: Optimal arm bandit and Bayesian optimal when the player’s candidate actions are huge or continuous (2)
Bayesian optimization for digital transformation, artificial intelligence, machine learning tasks and bandit when player behavior is massive/continuous Markov chain Monte Carlo, Monte Carlo integration, turn kernels, scale parameters, Gaussian kernels, covariance function parameter estimation, Simultaneous Optimistic Optimazation policy, SOO strategy, algorithms, GP-UCB policy, Thompson's law, expected value improvement strategy, GP-UCB policy
アルゴリズム:Algorithms Protected: Implementation of two approaches to improve environmental awareness, a weak point of deep reinforcement learning.
Implementation of two approaches to improve environment awareness, a weakness of deep reinforcement learning used in digital transformation, artificial intelligence, and machine learning tasks (inverse predictive, constrained, representation learning, imitation learning, reconstruction, predictive, WorldModels, transition function, reward function Weaknesses of representation learning, VAE, Vision Model, RNN, Memory RNN, Monte Carlo methods, TD Search, Monte Carlo Tree Search, Model-based learning, Dyna, Deep Reinforcement Learning)