Deus Ex Machina

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.

2021.10.24

python微分積分:Calculus推論技術:inference Technology機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

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

2021.10.24

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

Machine learning with python

A reference book that explains the theory and characteristics of machine learning used in digital transformation and artificial intelligence tasks, and its implementation using python.

2021.10.24

pythonアルゴリズム:Algorithms機械学習:Machine Learning

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: 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.

2021.10.19

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

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)

2021.10.18

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自然言語処理:Natural Language Processing