Overview of geographic information processing and its various applications and implementation in python
Geographic Information Processing
Geographic Information Processing refers to technologies and methods for acqui...
Protected: Model Building and Inference in Bayesian Inference – Overview and Models of Hidden Markov Models
Model building and inference of Bayesian inference for digital transformation, artificial intelligence, and machine learning tasks - Overview of hidden Markov models and models eigenvalues, hyperparameters, conjugate prior, gamma prior, sequence analysis, gamma distribution, Poisson distribution, mixture models graphical model, simultaneous distribution, transition probability matrix, latent variable, categorical distribution, Dirichlet distribution, state transition diagram, Markov chain, initial probability, state series, sensor data, network logs, speech recognition, natural language processing
Overview of online forecasting technology and various applications and implementations
About Online Forecasting
Online Prediction (Online Prediction) is a method that uses models to make predictio...
Overview of online learning and various algorithms, application examples and specific implementations
Online Learning
Online Learning is a method of learning by sequentially updating a model under conditions whe...
Various methods of machine learning that can be explained and examples of implementations
Explainable Machine Learning
Explainable Machine Learning (EML) refers to methods and approaches that explai...
Topics in physics, chemistry, biology, and space and the role of mathematics and artificial intelligence
Physics, Chemistry, Biology, and the Universe
Physics is the field of science that studies the properties and in...
Yusuhara Highway – Travel in Kochi and Shikoku Mountains
Summary
Travel is an act for human beings to visit new places and experience different cultures and histories. Th...
Financial Engineering, Black-Scholes Model and Artificial Intelligence Technology
Financial Engineering
Financial engineering (FE) is the discipline that applies mathematical and statistical met...
Machine learning approaches with small data and various implementation examples
Machine Learning with Small Data
As described in "Challenges in Achieving 100% Reproducibility for Ri...
Combination of simulation and machine learning and various implementation examples
About Simulation and Machine Learning
Simulation involves modeling a real-world system or process and ex...