machine learning

アルゴリズム:Algorithms

Protected: Quasi-Newton Method as Sequential Optimization in Machine Learning(1) Algorithm Overview

Quasi-Newton methods as continuous machine learning optimization for digital transformation, artificial intelligence, and machine learning tasks (BFGS formulas, Lagrange multipliers, optimality conditions, convex optimization problems, KL divergence minimization, equality constrained optimization problems, DFG formulas, positive definite matrices, geometric structures, secant conditions, update laws for quasi-Newton methods, Hesse matrices, optimization algorithms, search directions, Newton methods)
アルゴリズム:Algorithms

Protected: Example of Machine Learning with Bayesian Inference: Variational Inference for Poisson Mixture Models

Examples of machine learning with Bayesian inference utilized for digital transformation, artificial intelligence, and machine learning tasks: variational inference for Poisson mixed models (Gibbs sampling, variational inference, algorithm, ELBO, computation, variational inference algorithm, latent variable parameters, posterior distribution, Dirichlet distribution, gamma distribution)
web技術:web technology

Server Technologies

Server technologies (nginx, Microsoft Internet Information Server (IIS), LightSpeed, lighthttpd, CERN httpd, NCSA HTTPd, Apache server, LAMP, event-driven, prefork-type) used for digital transformation, artificial intelligence, machine learning tasks
アーキテクチャ

network technology

Network technologies used for digital transformation, artificial intelligence, and machine learning tasks (Internet, ARPANET, Internet Protocol Suite, encapsulation, Open Systems Interconnection, HTML, protocols, TCP/IP, IPV6, Ethernet)
テクノロジー:Technology

Tex/Latex, the world’s standard tool for writing papers, and Mathjax, the web math display tool

Tex/Latex, the world standard tool for preparing papers for external presentation in digital transformation, artificial intelligence, and machine learning tasks, and Mathjax, a web math display tool (CloudLatex, SublimeText, plugins, LatexTools, DVI, PDF, Donald E. Knuth, The Art of Computer Programming)
アルゴリズム:Algorithms

Protected: Application of Neural Networks to Reinforcement Learning Policy Gradient, which implements a strategy with a function with parameters.

Application of Neural Networks to Reinforcement Learning for Digital Transformation, Artificial Intelligence, and Machine Learning tasks Policy Gradient to implement strategies with parameterized functions (discounted present value, strategy update, tensorflow, and Keras, CartPole, ACER, Actor Critoc with Experience Replay, Off-Policy Actor Critic, behavior policy, Deterministic Policy Gradient, DPG, DDPG, and Experience Replay, Bellman Equation, policy gradient method, action history)
Clojure

Protected: Network analysis with Pagerank using Clojure Glittering

Network analysis with Pagerank (label propagation, Twitter user group analysis, influencers, communities, community graphs, accounts, followers, dumping factor, page rank algorithm) using Clojure Glittering for digital transformation, artificial intelligence and machine learning tasks.
アーキテクチャ

AWS Cloud Service Design Patterns (3)

AWS Cloud Service Design Patterns utilized for Digital Transformation, Artificial Intelligence, and Machine Learning tasks (Operations and Maintenance Patterns, Bootstrap, Cloud DI, Stack Development, Server Swapping, Monitoring Integration, Weighted Transition, Log Aggregation, Ondemand Activation, Network Patterns, Backnet, Functional Firewall, and Operational Activation). Monitoring Integration, Weighted Transition, Log Aggregation, Ondemand Activation, Network Patterns, Backnet, Functional Firewall, Operational Firewall, Multi Load Balancer, WAF Proxy, CloudHub, Sorry Page, Self Registration, RDP Proxy, Floating Gateway, Shared Service, High Availability NAT)
web技術:web technology

Protected: On cloud-native and service-centric development

On cloud-native and service-centric development leveraged for digital transformation, artificial intelligence, and machine learning tasks inter-organizational, siloed, KPIs, business value, Conway's Law, organizational restructuring, process reform, CNCF Incubating Stage, CNCF Graduate Stage, CNCF Sandbox Stage, Technical Oversight Committee, End User Advisory Board, Cloud Native Application Development, Kubernetes Application Modernization, The Twelve-Factor App, 12 Application Principles, Container Orchestration, APIs, Service Based Architecture, SOA, Service Oriented Architecture, Microservices, Sparse Coupling, Delivery Performance, MTTR, Lead Time, Change Loss Rate, Deployment Frequency, Docker
ICT技術:ICT Technology

Theory, Mathematics and Algorithms for Artificial Intelligence Technology

Theory and basic algorithms of artificial intelligence techniques (metaheuristics, graph algorithms, dynamic programming, sphere theory, logic, mathematics) used in digital transformation, artificial intelligence and machine learning tasks.
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