地理空間情報処理

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
python

Python Basic & Practical Programming

Python's Programming Basics and Algorithm Implementation Reference Book
2021.10.12
pythonweb技術:web technologyデータベース技術:DataBase Technology
python

A Textbook of Algorithms in Python

Python's Programming Basics and Algorithm Implementation Reference Book
2021.10.11
pythonアルゴリズム:Algorithms
機械学習:Machine Learning

Protected: Capturing “Individuality” with Hierarchical Models (Hierarchical Bayesian Models and Empirical Bayesian Methods (GLMM))

Understanding "personality" in hierarchical Bayesian models and solving with empirical Bayesian methods (GLMM), which can be used for artificial intelligence (AI), natural language processing, and digital transformation (DX).
2021.10.11
機械学習:Machine Learning確率・統計:Probability and Statistics
Clojure

Reference books on Clojure (general)

Reference books on Clojure (microservices, reactive programming, etc.) for building artificial intelligence and machine learning to be used for digital transformation and artificial intelligence (AI) tasks.
2021.10.10
ClojureICT技術:ICT Technology
地理空間情報処理

Protected: Introduction to Geospatial Information Using QGIS

Overview of QGIS, an open source for processing and displaying map spatial information used in digital transformation and artificial intelligence tasks
2021.10.09
地理空間情報処理
Uncategorized

Protected: KFAS and fileds in R implementation

Practice of statistical modeling such as Bayesian estimation and spline completion in R, KFAS, fields
2021.10.08
Uncategorized
機械学習:Machine Learning

Protected: Applying Deep Learning to Speech Recognition

Overview of neural network applications (TDNN, RNN, CNN) and deep learning applications (LSTM, CTC) for speech recognition technology used in digital transformation and artificial intelligence tasks
2021.10.07
機械学習:Machine Learning深層学習:Deep Learning音声信号認識技術
推論技術:inference Technology

Concrete and Abstract – natural language sematics and explain

Concrete and abstract to consider the meaning of natural language and explainable machine learning that can be used for digital transformation and artificial intelligence tasks.
2021.10.06
推論技術:inference Technology機械学習:Machine Learning自然言語処理:Natural Language Processing
機械学習:Machine Learning

Protected: Speaker adaptation and speaker recognition

Speaker adaptation (HMM) to improve recognition accuracy for digital transformation and artificial intelligence tasks, and speaker recognition (maximum likelihood linear regression, MLLR, i-vector) for security and other applications.
2021.10.05
機械学習:Machine Learning確率・統計:Probability and Statistics音声信号認識技術
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