機械学習:Machine Learning Protected: From Averages to Individuality: The Open World of Statistical Modeling (1)Statistical Model Overview
From statistics of averages to statistics of personality, using Bayesian modeling, Hierarchical Bayes
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機械学習:Machine Learning 推論技術:inference Technology Protected: Introduction to Hierarchical Bayes (from GLM to Hierarchical Bayesian Model)
Bayesian inference that can be used for artificial intelligence (AI), natural language, and digital transformation (DX); generate hierarchical Bayesian models from GLM models to solve complex statistical models
地理空間情報処理 Geospatial Information Processing
Free software for geospatial information that can be used for digital transformation (DX) and artificial intelligence (AI) tasks (QGIS), R) and information on the development of business and other applications.
python Speech Recognition Technology
Application of deep learning and other machine learning techniques to speech signal processing for digital transformation and artificial intelligence tasks
推論技術:inference Technology Protected: Convolutional Neural Networks (2) CNN Overview and Implementation
Overview of convolutional neural networks, a deep learning technique used for image recognition.
推論技術:inference Technology Protected: Convolutional Neural Networks (1) Forward and Reverse Propagation Algorithms and Mini-Batch
Forward and back propagation algorithms and mini-batches as the basis for algorithms in DNNs that can be used for digital transformation and artificial intelligence tasks.
機械学習:Machine Learning Deep Learning Technologies
Deep learning technology, one of the breakthroughs in artificial intelligence technology and machine learning technology
推論技術:inference Technology Overview of Kernel Methods and Support Vector Machines
On kernel methods, one of the breakthroughs in machine learning technology
推論技術:inference Technology Protected: Classification (4) Group learning(Ensemble Learning, Random Forest) and evaluation of learning results(Cross-validation method)
Algorithms for collective learning for data classification and evaluation of classification results (ensemble learning, bagging, boosting, random forests, cross-validation)
推論技術:inference Technology Protected: Classification (3) Probabilistic Discriminant Function(Logistic, Softmax Regression) and Local Learning(K-nearest neighbor method, kernel density estimation)
Probabilistic discriminant functions and local learning used in classifiers for data classification