機械学習:Machine Learning Dealing with the meaning of symbols on a computer An overview of the steps to handle the meaning of symbols in computers used for digital transformation and artificial intelligence tasks. 2021.09.27 機械学習:Machine Learning画像認識技術自然言語処理:Natural Language Processing音声信号認識技術
推論技術:inference Technology Protected: Object Detection:Sliding Window Method and Negative Example Sequential Selection with Exampler-SVM, R-CNN Various classifiers for object detection (Sliding Window Method and Negative Example Sequential Selection and Exampler-SVM, R-CNN) for digital transformation and artificial intelligence tasks. 2021.09.26 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
音声信号認識技術 Protected: Natural Language and Voice An overview of phonetic models of natural language as a basis for speech recognition technology to be used in digital transformation and artificial intelligence tasks. 2021.09.25 音声信号認識技術
python Introduction to programming in the Python language (1) What is programming? Basic mechanism and history of progming and computers 2021.09.24 pythonプログラミング言語:Programming Language
python Python and Machine Learning Overview of Python, a programming language used in digital transformation , artificial intelligence , and machine learning 2021.09.23 pythonプログラミング言語:Programming Language機械学習:Machine Learning深層学習:Deep Learning自然言語処理:Natural Language Processing
機械学習:Machine Learning Protected: From Averages to Individuality: The Open World of Statistical Modeling (2)hierarchical Bayesian model From the Statistics of Means to the Statistics of Individuality Estimation with Bayesian Modeling 2021.09.23 機械学習:Machine Learning確率・統計:Probability and Statistics
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 2021.09.22 機械学習:Machine Learning確率・統計:Probability and Statistics
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 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
Uncategorized 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
python 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