python An introduction to statistical modeling through Python implementation
An overview of machine learning theory using probability for digital transformation and artificial intelligence tasks and its implementation using python
数学:Mathematics
python 推論技術:inference Technology 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)
推論技術:inference Technology 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.
推論技術:inference Technology 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
IOT技術:IOT Technology 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.
地理空間情報処理 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
推論技術:inference Technology Protected: Individuality and parameter estimation (Interpreting the Hierarchical Bayesian Model)
Relationship between global parameter estimation and local parameters (e.g., individual differences) for understanding hierarchical Bayesian models.
地理空間情報処理 Protected: Capturing the Flu Epidemic on Social Media
Extraction of context (e.g., location information) from text information in social media for digital trasformation and artificial intelligence tasks (location information extraction from content using probabilistic framework and graph approach)
IOT技術:IOT Technology 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.
R 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