推論技術:inference Technology Protected: Explainable Artificial Intelligence (13)Model Independent Interpretation (Local Surrogate :LIME)
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推論技術:inference Technology 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.
ICT技術:ICT Technology Artificial Intelligence Technology
Artificial Intelligence technologies used for Digital Transformation (DX), Artificial Intelligence (AI) and Machine Learning (ML) tasks
中国古典:classics The Thought of Zhuangzi: How the Mind Can Be Free
The Thought of Zhuangzi: How the Mind Can Be Free (Qimoten, Delusion, Delusion of Hearing, Irreconcilable Character, Zen, The Human World Arc, O Teio Arc, Tokujinshi Arc, Anti-Common Sense, Saigyo Hoshi, Kamo Chomei, Matsuo Basho, Sengai Yoshihon, Ryokan, Yukawa Hideki, O Teio Arc, The Seven Bones of Chaos, Novel, Zhuang Zhou)
アルゴリズム:Algorithms Protected: Exp3.P measures and lower bounds for the adversarial multi-armed bandit problem Theoretical overview
Theoretical overview of Exp3.P measures and lower bounds for adversarial multi-arm bandit problems utilized in digital transformation, artificial intelligence, and machine learning tasks cumulative reward, Poly INF measures, algorithms, Arbel-Ruffini theorem, pseudo-riglet upper bounds for Poly INF measures, closed-form expressions, continuous differentiable functions, Audibert, Bubeck, INF measures, pseudo-riglet upper bounds for INF measures, random choice algorithms, optimal order measures, highly probable riglet upper bounds) closed form, continuous differentiable functions, Audibert, Bubeck, INF measures, pseudo-riglet lower bounds, random choice algorithms, measures of optimal order, highly probable riglet upper bounds
アルゴリズム:Algorithms Protected: Overview of C-Support Vector Machines by Statistical Mathematics Theory
Support vector machines based on statistical mathematics theory used in digital transformation, artificial intelligence, and machine learning tasks C-support vector machines (support vector ratio, Markov's inequality, probability inequality, prediction discriminant error, one-out-of-two cross checking method, LOOCV, the discriminant, complementarity condition, main problem, dual problem, optimal solution, first order convex optimization problem, discriminant boundary, discriminant function, Lagrangian function, limit condition, Slater constraint assumption, minimax theorem, Gram matrix, hinge loss, margin loss, convex function, Bayes error, regularization parameter)