Deus Ex Machina

Protected: Network Analysis Using Clojure (2)Computing Triangles in a Graph Using Glittering

Network analysis using triangle computation in graphs using Clojure/Glittering for digital transformation, artificial intelligence, and machine learning tasks (GraphX, Pregel API, Twitter dataset, custom triangle count algorithm, message send function, message merge function, outer join, RDD, vertex attributes, Apache Spark, Sparkling, MLlib, Glittering, triangle counting, edge-cut strategy, random-vertex-cut strategy, and social networks, graph parallel computing functions, Hadoop, data parallel systems, RDG, Resilient Distributed Graph, Hama, Giraph)

2023.01.18

Clojureアルゴリズム:Algorithmsグラフ理論最適化:Optimization機械学習:Machine Learning線形代数:Linear Algebra集合論:Set theory

Protected: Setup of Terraform, an infrastructure management tool

Setup of Terraform, an infrastructure management tool used for digital transformation, artificial intelligence, and machine learning tasks (git-secrets, dockernized Terraform, AWS credentials, team development tfenv, Homebrew, AWS CLI, AWS Management Console, access key ID, secret access key, python, Identity and Access Management, AWS, environment setup)

2023.01.17

web技術:web technologyアーキテクチャコンピューターネットワーク技術マルチエージェントシステム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

AWS Cloud Service Design Patterns (1)

AWS Cloud Service Design Patterns for Digital Transformation, Artificial Intelligence, and Machine Learning tasks (Snapshot, Stamp, Scale Up, Scale Out, Ondemand Disk, Multi-Server, Multi-Datacenter, Floating IP, Deep Health Check, Routing-Based HA, Clone Server, NFS Sharing, NFS Replica, State Sharing, URL Rewriting, Rewrite Proxy, and Datacenter). Datacenter, Floating IP, Deep Health Check, Routing-Based HA, Clone Server, NFS Sharing, NFS Replica, State Sharing, URL Rewriting, Rewrite Proxy, Cache Proxy, Scheduled Scale Cache Proxy, Scheduled Scale Out, IP Pooling, Web Storage, Direct Hosting, Private Distribution, Cache Distribution, Rename Distribution, Private Cache Distribution, Latency Based Origin)

2023.01.16

アーキテクチャコンピューター

Strolling along the street in Akasaka

Akasaka Stroll from Ryotaro Shiba's Kaido Yuku (Hie Shrine, Nogizaka46, Nogizaka, Nogi Shrine, Korekiyo Takahashi Memorial Park, Nijuoroku Incident, Korekiyo Takahashi, Toyokawa Inari, Omotesando, Kukai, Soto sect, Myogonji, Dogen, Esoteric Buddhism, Dakini Koten, fox, Ukanomikoto, Inari Shrine, Josui Organization, Hikawa Shrine, Yoshimune Tokugawa, Okura Shukokan, Kingo Tatsuno, Tokyo Station, Sakuradamura, Tameike Sanno, Machitobi, Teishigake, Gagan, Hotel New Okura, American Embassy

2023.01.15

旅歴史紀行読書

Living like water – the fundamental path of Lao Tzu’s philosophy

Who is Lao Tzu? The ancient Chinese book of thought "Laozi" was written by a man named Laozi, but his career is ...

2023.01.14

中国古典:classics哲学:philosophy

Protected: The Vimalakaya Sutra: A Major Shift in Buddhist Thought

Vima Sutra- One of the great transformations of Buddhist thought (Vima, Dharma, illness, Dharma products, Six Perfections, Four Immeasurable Minds, Compassion, Sadness, Joy, Renunciation, Four Celestial Laws, Fuse, Aikoku, Ri Gyo, Simultaneous, Buddhist national articles, Fuse, Mochikai, Ninshin, Seishin, Zensho, Wisdom, Birth and Heaven Thought, Dharma Body, Rewarding Body, Oyumi, Emptiness, Otherness, Sociality, Compassion, Sangyo Giso, and Shotoku Taishi, Biyarai, Lotus Sutra, Shoman Sutra, Arhat, Bodhisattva Path, Prajnaparamita Sutra, Lotus Sutra, Kegon Sutra, Sutra of Immeasurable Life, Mahayana Buddhism, Deconstruction Device, Arya Sutra, Middle Agony Sutra, Sakyamuni, Developmental Buddhism, Murakami Senju, ordained, ordained practitioners)

2023.01.14

仏教:Buddhism哲学:philosophy

Protected: Regret Analysis for Stochastic Banded Problems

Regret analysis for stochastic banded problems utilized in digital transformation, artificial intelligence, and machine learning tasks (sum of equal sequences, gamma function, Thompson extraction, beta distribution, hem probability, Mills ratio, partial integration, posterior sample, conjugate prior distribution, Bernoulli distribution, cumulative distribution function, expected value, DMED measure, UCB measure, Chernoff-Hefding inequality, likelihood, upper bound, lower bound, UCB score, arms)

2023.01.13

アルゴリズム:Algorithms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線形代数:Linear Algebra

Protected: Regenerate nuclear Hilbert spaces as a basis for kernel methods in statistical mathematics theory.

Regenerate kernel Hilbert spaces as a basis for kernel methods in statistical mathematics theory used in digital transformation, artificial intelligence, and machine learning tasks orthonormal basis, Hilbert spaces, Gaussian kernels, continuous functions, kernel functions, complete spaces, inner product spaces, equivalence classes, equivalence relations, Cauchy sequences, linear spaces, norms, complete inner products

2023.01.12

アルゴリズム:Algorithms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

Protected: Batch Stochastic Optimization – Stochastic Dual Coordinate Descent

Stochastic dual coordinate descent algorithms as batch-type stochastic optimization utilized in digital transformation, artificial intelligence, and machine learning tasks Nesterov's measurable method, SDCA, mini-batch, computation time, batch proximity gradient method, optimal solution, operator norm, maximum eigenvalue , Fenchel's dual theorem, principal problem, dual problem, proximity mapping, smoothing hinge loss, on-line type stochastic optimization, elastic net regularization, ridge regularization, logistic loss, block coordinate descent method, batch type stochastic optimization

2023.01.11

アルゴリズム:Algorithmsスパースモデリング幾何学:Geometry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

Protected: Newtonian and Modified Newtonian Methods as Sequential Optimization in Machine Learning

Newton and modified Newton methods (Cholesky decomposition, positive definite matrix, Hesse matrix, Newtonian direction, search direction, Taylor expansion) as continuous machine learning optimization for digital transformation, artificial intelligence and machine learning tasks

2023.01.10

アルゴリズム:Algorithms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