Symbolic Logic Creating Logic, Part 2: Expanding Logic Reading Notes
Fundamentals of logic (predicate logic and tableau, PPL, IPL) in mathematical logic utilized for reasoning mechanisms in artificial intelligence tasks.
推論技術:inference Technology
Symbolic Logic 推論技術:inference Technology Protected: Statistics as a post-modern science
Mathematical statistics and probabilistic statistical methods used in digital transformation and artificial intelligence tasks, and considerations for inference and machine learning
python Introduction to Optimization Problems Combining Cone Optimization, Integer Optimization, and Network Models Problem Solving with Python Series
Overview of optimization techniques in machine learning using python for digital transformation (DX) and artificial intelligence (AI) tasks.
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
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
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)