アルゴリズム:Algorithms Example implementation for general time series analysis using R or Python
Overview of time series data analysis
Time-series data is called data whose values change over time, suc...
ICT技術:ICT Technology
アルゴリズム:Algorithms C/C++ How to create code development environments in various languages
How to create code development environments in various languages
In order to program, it is necessar...
プログラミング言語:Programming Language Examples of data file input/output implementations in various languages
summary
File input/output functions are the most basic and indispensable functions for programming. ...
C/C++ Examples of iteration and branching implementations in various languages
summary
Among programming languages, the basic functionality is one element of the three functions of stru...
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
Type systems and statically/dynamically typed languages
In programming languages, the type system describes t...
Clojure Overview of Petri-net technology and its combination with artificial intelligence technology and various implementations
Petri Net Overview
Petri nets are a descriptive model of discrete event systems proposed by Petri in 1962...
ICT技術:ICT Technology Overview of Git and easy usage and reference books
Summary
Git is a source code version control system that allows multiple people to work ...
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)