overview

web技術:web technology

Protected: Introduction to Amazon Web Services networking (2) Creating VPC regions and subnets

Overview and introduction of procedures for creating VPC regions and subnets for building AWS cloud services used in digital transformation, artificial intelligence, and machine learning tasks.
Stream Data Processing

Protected: PF for fast processing of streamed data and large amounts of data: Apache Spark Overview

Overview of ApacheSpark, an open source platform used for digital transformation, artificial intelligence, and machine learning tasks to process streamed and massive data at high speed
CSS

Protected: Bootstrap5 Front-end Development Textbook – Introduction and Introduction to Bootstrap

Overview of Bootstrap5, a flexible front-end framework used for digital transformation and artificial intelligence tasks (fluid grids, fluid images, media queries, grid systems) and its actual implementation
アルゴリズム:Algorithms

Basic algorithms for graph data (DFS, BFS, bipartite graph decision, shortest path problem, minimum whole tree)

An overview of basic algorithms for graph data (DFS, BFS, bipartite graph decision, shortest path problem, minimum global tree) and some code in C++.
アルゴリズム:Algorithms

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.
Clojure

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
最適化:Optimization

Machine Learning Professional Series Sparsity-Based Machine Learning Reading Notes

Overview of sparse modeling used for regularization and other applications in machine learning for digital transformation , artificial intelligence , and machine learning tasks.
微分積分:Calculus

Protected: Extension of topic models (adding structure to topics) Correlation topic model, slingshot distribution model with hierarchical structure, probabilistic latent semantic visualization with low-dimensional spatial structure

Overview of topic models with structure in correlated topics used in digital transformation and artificial intelligence tasks (correlated topic model, slingshot distribution model with hierarchical structure, probabilistic latent meaning visualization with low-dimensional spatial structure)
推論技術:inference Technology

Protected: Extending the topic model (using other information) (1) Combined topic model and corresponding topic model

Create a topic model with auxiliary information to be used for digital transformation and artificial intelligence tasksJoining / Corresponding Topic Model Overview
LISP

Knowledge Information Processing Technologies

Overview of techniques for handling the most important knowledge information in artificial intelligence tasks.
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