LISP The Little Schemer
A textbook on functional languages in Schema, a derivative of LISP used for AI tasks (recursion and anonymous functions, lambda functions, Y-combinators and a simple interpreter).
AI
LISP python Protected: Introduction to programming in the Python language (2) Characteristics of the Python language
Table of contents for the MIT Python textbook and features of the Python language used for digital transformation (DX) and artificial intelligence (AI) tasks.
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.
IOT技術:IOT Technology Protected: Introduction to Customer Motivation Research
HMM, k-medoids, and kernel density estimation for customer flow analysis used in 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
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
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
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
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.
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.