DX

機械学習:Machine Learning

Machine Learning Professional Series “Reinforcement Learning” Reading Memo

A reference book on reinforcement learning to observe the current situation and determine what action to take, used in digital transformation ,artificial intelligence , and machine learning tasks.
2022.01.10
機械学習:Machine Learning深層学習:Deep Learning
オンライン学習

Machine Learning Professional Series “Online Prediction” Reading Memo

Online prediction, which is machine learning that combines prediction and decision making problems used in digital transformation , artificial intelligence , and machine learning tasks.
2022.01.09
オンライン学習強化学習最適化:Optimization確率・統計:Probability and Statistics
微分積分:Calculus

Machine Learning Professional Series “Online Machine Learning” Reading Memo

Online learning reference books used for digital transformation , artificial intelligence , and machine learning tasks such as sequential processing of large-scale data.
2022.01.08
微分積分:Calculus最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning
セマンテックウェブ技術:Semantic web Technology

ISWC2004 Papers

Introduction to the collection of papers of the International Semantic Web Conference ISWC2004, which is knowledge information processing used for digital transformation and artificial intelligence tasks.
2022.01.08
セマンテックウェブ技術:Semantic web Technology
オンライン学習

Protected: Advanced online learning (1) High accuracy Approach (Perceptron, PA, PA-I, PA-II, CW, AROW, SCW)

Introduction to various methods for improving the accuracy of online learning for digital transformation , artificial intelligence and machine learning tasks (Perceptron, PA, CW, AROW, SCW)
2022.01.07
オンライン学習微分積分:Calculus最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics
オンライン学習

Protected: Fundamentals of Online Learning Stochastic Gradient Descent – Application to Perceptron, SVM, and Logistic Regression

Online learning applications to the perceptron, SVM, and logistic regression for digital transformation , artificial intelligence , and machine learning tasks.
2022.01.06
オンライン学習微分積分:Calculus最適化:Optimization確率・統計:Probability and Statistics線形代数:Linear Algebra
オンライン学習

Online learning and online prediction

Online learning is a sequential machine learning technique used in digital transformation , artificial intelligence , and machine learning tasks, and online prediction combines these techniques with decision-making problems.
2022.01.05
オンライン学習強化学習微分積分:Calculus最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics
オンライン学習

Protected: Implementation in online learning – sparse vector computation and averaging perceptron, averaged stochastic gradient descent, lazy update

Various implementation techniques for online learning for digital transformation , artificial intelligence and machine learning tasks (sparse vector computation and averaging perceptrons, averaged stochastic gradient descent, lazy update).
2022.01.05
オンライン学習最適化:Optimization
Symbolic Logic

Computerized processing of law-related tasks

Computational processing of legal information as an application of knowledge information processing used as a digital transformation and artificial intelligence task (a European case study).
2022.01.04
Symbolic Logicセマンテックウェブ技術:Semantic web Technology
LISP

Knowledge Representation and Reasoning (1) – History of Knowledge Information Processing, Languages for Representing Knowledge and Prolog

History of knowledge information processing used in digital transformation and artificial intelligence tasks, and languages for representing knowledge, Prolog and predicate logic
2022.01.03
LISPprologSymbolic Logicエキスパートシステム:expertsystem検索技術:Search Technology
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