ICT技術:ICT Technology

Security in Microservices – APIs with Auth and Pedestal in Clojure

Security in microservices leveraged for digital transformation, artificial intelligence, and machine learning tasks - APIs with Auth and Pedestal in Clojure Buddy, Buddy sign, JSON Web Tokens, JSON Web Signature, JSON Web Encryption

2022.11.15

Clojureアーキテクチャセキュリティマルチエージェントシステム

Protected: Apache Spark’s processing model for distributed data processing

Used for digital transformation artificial intelligence and machine learning tasks Apache Spark's processing model (Executor, Task, Scheduler, Driver Program, Master Node, Worker Node, Spark Standalone, Mesos, Hadoop, HFDS, YARN, Partitions, RDD, Transformations, Actions, Resillient Distributed Dataset)

2022.11.14

IOT技術:IOT TechnologypythonRStream Data Processingweb技術:web technologyデータベース技術:DataBase Technology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時系列データ解析非同期/並行処理:Asynchronous/parallel processing

Introduction to FPGAs for Software Engineers Machine Learning

Summary An FPGA (Field Programmable Gate Array) is a programmable hardware device that can perform high-...

2022.11.13

コンピューターハードウェア機械学習:Machine Learning

UML, workflow data visualization tool plantUML

UML for digital transformation , artificial intelligence , and machine learning tasks, workflow data visualization tools plantUML

2022.11.04

ClojureJavapython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: Implementation of model-free reinforcement learning in python (1) epsilon-greedy method

Implementation in python of the epsilon-Greedy method, a model-free reinforcement learning method for use in digital transformation, artificial intelligence, and machine learning tasks, multi-armed bandit

2022.11.03

アルゴリズム:Algorithmsマルチエージェントシステム幾何学:Geometry強化学習最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra集合論:Set theory

Hierarchical Temporal Memory and Clojure

Deep learning with hierarchical temporal memory and sparse distributed representation with Clojure for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) tasks

2022.11.02

Clojurepythonアルゴリズム:Algorithmsグラフ理論スパースモデリングスパースモデリング微分積分:Calculus時系列データ解析最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

Database construction for microservices using next generation DB Datomic

Building databases with Clojure for microservices using Datomic, the next-generation DB used for digital transformation, artificial intelligence, and machine learning tasks (AWS, five-tuple, immutable, immutable, Datalog, Transactor, Peer Server).

2022.11.01

Clojureアーキテクチャデータベース技術:DataBase Technology

Network analysis using Clojure (1) Width-first/depth-first search, shortest path search, minimum spanning tree, subgraphs and connected components

Network analysis using Clojure/loop for digital transformation , artificial intelligence and machine learning tasks, width-first/depth-first search, shortest path search, minimum spanning tree, subgraph and connected components

2022.10.31

Clojureアルゴリズム:Algorithmsグラフ理論セマンテックウェブ技術:Semantic web Technologyマルチエージェントシステム微分積分:Calculus最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra集合論:Set theory

Integration of logic and rules with probability/machine learning

Integration of logic and rules with machine learning (inductive logic programming, statistical relational learning, knowledge-based model building, Bayesian nets, probabilistic logic learning, hidden Markov models) used for digital transformation, artificial intelligence, and machine learning tasks.

2022.10.30

Symbolic Logicアルゴリズム:Algorithmsエキスパートシステム:expertsystemグラフ理論セマンテックウェブ技術:Semantic web Technologyベイズ推定微分積分:Calculus推論技術:inference Technology数理論理学:Mathematical logic最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning確率・統計:Probability and Statistics関係データ学習

Protected: Transition from monolithic services to microservices and service design

Overview of migration from monolithic services and design guidelines for microservices leveraged for digital transformation, artificial intelligence, and machine learning tasks (release cycle and deployment process, boundary context, productivity, components, service-oriented architecture, database isolation)

2022.10.29

アーキテクチャコンピューターマルチエージェントシステム