digital transformation

Protected: Model the living word(Probabilistic Modeling of Natural Language)

Probabilistic models of natural language (Hierarchical Bayes, Topic Models, LDA) for artificial intelligence (AI), natural language processing, and digital transformation (DX)

2021.10.24

推論技術:inference Technology機械学習:Machine Learning確率・統計:Probability and Statistics

Protected: From Global Models to Local Models State Space Models and Simulation

Simulation interpretation using general state space models and particle filters, one of the probability generation models used in digital transformation and artificial intelligence tasks.

2021.10.23

推論技術:inference Technology機械学習:Machine Learning確率・統計:Probability and Statistics

Protected: Statistical Science to Incorporate Individual and Regional Differences Case Study in Medical Field

Application of Bayesian statistics to medical data with individual and regional differences used for digital transformation and artificial intelligence tasks

2021.10.22

推論技術:inference Technology機械学習:Machine Learning確率・統計:Probability and Statistics

Protected: Location Privacy -k-anonymization and anonymization with hidden Markov models

Information anonymization using k-anonymization and hidden Markov models (HMMs) for location privacy to be used in digital transformation and artificial intelligence tasks.

2021.10.21

IOT技術:IOT Technologyデータ圧縮/セキュリティ:Data compression and security地理空間情報処理機械学習:Machine Learning確率・統計:Probability and Statistics

Protected: Geospatial Information in Motion -Simulation and data assimilation

Simulation for human flow analysis for digital transformation and artificial intelligence tasks and assimilation of real data with probability generation models

2021.10.20

地理空間情報処理推論技術:inference Technology機械学習:Machine Learning確率・統計:Probability and Statistics

Protected: Introduction to programming in the Python language (2) Characteristics of the Python language

Table of contents for the MIT Python textbook and features of the Python language used for digital transformation (DX) and artificial intelligence (AI) tasks.

2021.10.17

python機械学習:Machine Learning

Protected: An Invitation to Spatial Epidemiology – What can we see from the map of intractable diseases?

Geographic information analysis for epidemiology using Poisson-Gamma model, CDT and scan statistic test for digital transformation and artificial intelligence tasks.

2021.10.16

IOT技術:IOT Technology地理空間情報処理推論技術:inference Technology機械学習:Machine Learning確率・統計:Probability and Statistics

Protected: Introduction to Customer Motivation Research

HMM, k-medoids, and kernel density estimation for customer flow analysis used in digital transformation and artificial intelligence tasks.

2021.10.15

IOT技術:IOT Technology地理空間情報処理機械学習:Machine Learning

Protected: Hierarchical Bayesian Modeling on a Map

Application of Hierarchical Bayesian Inference to Geospatial Information for Digital Transformation and Artificial Intelligence Tasks (OpenBUGS) and Visualization with mandara

2021.10.14

R地理空間情報処理確率・統計:Probability and Statistics

Protected: Cooperation between R and QGIS

Actual collaboration between QGIS and R (rgdal, raster, dismo, dplyr, deldir), an open source of map spatial information for digital transformation and artificial intelligence task utilization

2021.10.13

地理空間情報処理