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.
人工知能:Artificial Intelligence
IOT技術:IOT Technology python A Textbook of Algorithms in Python
Python's Programming Basics and Algorithm Implementation Reference Book
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).
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.
推論技術:inference Technology Protected: Instance recognition and retrieval (1) Instance retrieval using BoVW
Instance recognition and image retrieval technology based on image recognition technology used in digital transformationand artificial intelligence
Clojure Reference books on machine learning in Clojure
An introduction to machine learning books with Clojure used for digital transformation and artificial intelligence tasks
Symbolic Logic Creating Logic, Part I: Beginning Logic Reading Notes
A textbook of logic for artificial intelligence and basic mathematics (from propositional logic to predicate logic, and then semantics and multi-valued logic, intuitionistic logic)
機械学習:Machine Learning Protected:
Overview of noise reduction techniques to improve speech recognition for digital transformation and artificial intelligence tasks (additive noise, multiplicative noise and active noise control, parallel model coupling, PMC, factorial HMM)