September 2021 | Page 2 | Deus Ex Machina

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

2021.09.21

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

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.

2021.09.20

Uncategorized

Speech Recognition Technology

Application of deep learning and other machine learning techniques to speech signal processing for digital transformation and artificial intelligence tasks

2021.09.20

pythonアルゴリズム:Algorithms機械学習:Machine Learning深層学習:Deep Learning音声信号認識技術

Protected: Convolutional Neural Networks (2) CNN Overview and Implementation

Overview of convolutional neural networks, a deep learning technique used for image recognition.

2021.09.20

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning画像認識技術

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.

2021.09.19

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning画像認識技術

Deep Learning Technologies

Deep learning technology, one of the breakthroughs in artificial intelligence technology and machine learning technology

2021.09.18

機械学習:Machine Learning深層学習:Deep Learning画像認識技術自然言語処理:Natural Language Processing

Overview of Kernel Methods and Support Vector Machines

On kernel methods, one of the breakthroughs in machine learning technology

2021.09.18

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning自然言語処理:Natural Language Processing

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)

2021.09.18

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning画像認識技術自然言語処理:Natural Language Processing

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

2021.09.17

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning画像認識技術

Protected: Classification (2) Optimization process(Gradient Descent Method, Newton’s Method, Perceptron, SVM)

Classification techniques for image recognition for use in digital transformation (DX) and artificial intelligence (AI), perceptron, squared loss (Adakine algorithm), SVM (SGD-SVM algorithm)

2021.09.16

推論技術:inference Technology検索技術:Search Technology機械学習:Machine Learning深層学習:Deep Learning画像認識技術

2021-09

Protected: Introduction to Hierarchical Bayes (from GLM to Hierarchical Bayesian Model)

Geospatial Information Processing

Speech Recognition Technology

Protected: Convolutional Neural Networks (2) CNN Overview and Implementation

Protected: Convolutional Neural Networks (1) Forward and Reverse Propagation Algorithms and Mini-Batch

Deep Learning Technologies

Overview of Kernel Methods and Support Vector Machines

Protected: Classification (4) Group learning(Ensemble Learning, Random Forest) and evaluation of learning results(Cross-validation method)

Protected: Classification (3) Probabilistic Discriminant Function(Logistic, Softmax Regression) and Local Learning(K-nearest neighbor method, kernel density estimation)

Protected: Classification (2) Optimization process(Gradient Descent Method, Newton’s Method, Perceptron, SVM)