Implementation

Protected: Advanced graph algorithms (strongly connected component decomposition, DAG, 2-SAT, LCA)

Overview and C++ implementation of advanced graph data algorithms such as strongly connected component decomposition, DAG, 2-SAT, LCA, etc., which can be applied to knowledge graph processing and various problem solving algorithms.

2022.02.21

アルゴリズム:Algorithmsグラフ理論

AI Dialogue Engine

I will describe the technical classification of the AI dialogue engine at the center of chatbot technology, the use of natural language processing, the use of deep learning technology, and the combination of knowledge graphs, which has attracted attention in recent years, as well as an overview of the technology, benchmarks, and implementation using Clojure.

2022.02.18

ClojurejavascriptStream Data Processingweb技術:web technologyアルゴリズム:Algorithmsエキスパートシステム:expertsystemセマンテックウェブ技術:Semantic web Technologyチャットボットユーザーインターフェース/データビジュアライゼーション推論技術:inference Technology自然言語処理:Natural Language Processing

Chatbots and Question&Answer Technology

Overview of chubbot technology used in digital transformation , artificial intelligence, etc., from a business perspective, as well as question-and-answer systems that combine natural language processing, deep learning, and knowledge network technologies

2022.02.17

ClojurejavascriptpythonStream Data ProcessingSymbolic Logicweb技術:web technologyエキスパートシステム:expertsystemセマンテックウェブ技術:Semantic web Technologyチャットボットユーザーインターフェース/データビジュアライゼーション推論技術:inference Technology自然言語処理:Natural Language Processing

Implementing simple chatbot using Node.js and React

Implementation of a simple chatbot using Node.js and React, a front-side server framework using Javascript.

2022.02.16

javascriptweb技術:web technologyチャットボットユーザーインターフェース/データビジュアライゼーション

Protected: New Developments in Reinforcement Learning (1) – Reinforcement Learning with Risk Indicators

Different approaches (regular process TD learning, RDPS methods) and implementations (Monte Carlo, analytical methods) in risk-aware reinforcement learning methods for digital transformation , artificial intelligence , and machine learning tasks.

2022.02.03

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深層学習:Deep Learning確率・統計:Probability and Statistics

Protected: Planning Problems (2) Implementation of Dynamic Programming (Value Iterative Method and Measure Iterative Method)

Implementation of Dynamic Programming (Value Iteration and Policy Iteration) for Planning Problems as Reinforcement Learning for Digital Transformation , Artificial Intelligence and Machine Learning Tasks

2022.01.18

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

Protected: MCMC method for calculating stochastic integrals: Algorithms other than Metropolis method (HMC method)

Algorithm and C implementation of the Hybrid Monte Calro method applied to complex stochastic integral calculations for digital transformation and artificial intelligence tasks.

2021.11.29

C言語深層学習:Deep Learning確率・統計:Probability and Statistics自然言語処理:Natural Language Processing

Protected: Introduction to deep learning with Python and Keras (3) Practical application example (2) Multi-class classification of news delivery

DNN implementation of multi-level classification of text information using python's keras for digital transformation and artificial intelligence tasks.

2021.11.01

python最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning

Protected: Introduction to deep learning with Python and Keras (2) Practical application example (1) Two-class classification of text data

DNN implementation of binary classification of text information using python's keras for digital transformation and artificial intelligence tasks.

2021.10.31

python最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning

Protected: Introduction to deep learning with Python and Keras (1) Overview of how to use Keras

Overview of Keras, a Python platform for implementing deep learning for digital transformation and artificial intelligence task utilization.

2021.10.30

python微分積分:Calculus最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning