Probability Generative Model

Topic Model Theory and Implementation

A topic model is a probability generation model for extracting topics from sentences, which is one of the natural language processing technologies used in digital transformation and artificial intelligence tasks.

2021.12.17

機械学習:Machine Learning確率・統計:Probability and Statistics自然言語処理:Natural Language Processing

Machine Learning Professional Series: Topic Models Post-Reading Notes

Topic models using probability generation models to extract sentence topics to be used in digital transformation (DX) and artificial intelligence (AI) tasks.

2021.11.28

微分積分:Calculus最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

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