音楽:Music Math, Music and Computers
Math, music and computers (algorave, live-coding, supercollider, synthesizers, overtone, Clojure, pyhton, FoxDot, generative art)
hummingbird
音楽:Music アート:Art Generative Art, Programs and Algorithms
Generative Art and Programs and Algorithms (clojurescript, javascript, compilation, quil templates, python mode, java mode, processing, ArtBlock, blockchain, curation, ken rilando, autopoiesis, robots, teamlab, algorithms, art, Clojure/Conj, complex systems, information theory, mathematics)
アート:Art Ukiyo-e and New Prints – The Old and the New in the Art World
Ukiyo-e and New Prints - The New Wisdom of the Art World (Ukiyo-e, Fukamizu Ito, Tomosui Kawase, Charles Bartlett, Surfing, Fritz Cavellari, Woman in front of the Mirror, Paris World Exposition, Shozaburo Watanabe, Watanabe Woodblock Print Shop, Kuniyoshi Utagawa, 36 Views of Mount Fuji, Hokusai Katsushika, Ghost, Shozaburo Tsutaya, Sharaku Toshusai, Yakusha-e, Kitagawa Utamaro, Bijin Oshukue, Suzuki Harunobu, Azuma Nishikie, Migaraki Bijin, Hishikawa Shinao, TSUTAYA, Type Printing, Edo Period, Muromachi Period, Rakuchu Rakugai-zu Byobu, Melancholy World, Floating World)
中国古典:classics Sun Tzu’s approach has its roots in problem-solving methods.
Sun Tzu's ideas, which are the roots of problem-solving methods (100 victories in 100 battles, advance planning, winning without fighting, five things and seven plans, mausoleum calculation, analysis, objective, visualization)
中国古典:classics The Roots of Problem Solving – About Sun Tzu
The Roots of Problem Solving - About Sun Tzu (Sun Wu, Sun Bin, Bamboo Plate of Silver Sparrow Mountain, Strategy, Strategy, Form, Formation, Force, Fiction, Military Conflict, Nine Changes, March, Terrain, Nine Terrains, Fire Attack, Use Space, China, Warring States Period, Spring and Autumn Period, Military Book, Philosophy, Thought Book)
Clojure Protected: Statistical analysis and correlation evaluation using Clojure/Incanter
Statistical analysis and correlation evaluation using Clojure for digital transformation, artificial intelligence, and machine learning tasks cumulative probability, confidence interval, standard deviation, population, 95% confidence interval, two-tailed test, z-transform, Fisher z-transform, cumulative distribution function, t-distribution, one-tailed test, and degrees of freedom, sampling error, null hypothesis, alternative hypothesis, hypothesis test, standard score, Pearson's product ratio correlation coefficient, covariance, jittering, lognormal distribution, Beki power, Gibrat's law, histogram
アルゴリズム:Algorithms Protected: Online-type stochastic optimization for machine learning with AdaGrad and minimax optimization
Online stochastic optimization and AdaGrad for machine learning utilized in digital transformation, artificial intelligence, and machine learning tasks, minimax optimization sparsity patterns, training errors, batch stochastic optimization, online stochastic optimization, batch gradient method, minimax optimality, generalization error, Lipschitz continuity, strong convexity, minimax optimal error, minimax error evaluation, first-order stochastic oracle, stochastic dual averaging method, stochastic gradient descent method, regular terms, Nemirovsky, Yudin, convex optimization method, expected error bound, riglets, semidefinite matrix, mirror image descent method, soft threshold functions
IOT技術:IOT Technology Protected: Leveraging Apache Spark for Distributed Data Processing – Developing and Executing Applications
Leveraging Apache Spark to enable distributed data processing for digital transformation, artificial intelligence, and machine learning tasks -Application development and execution (forced termination, yarn-client mode, yarn-cluster mode, YARN, and YARN) management commands, cluster, python, Clojure, Shell, AWS, Glue, sparkplug, spark-shell, spark-submit, Nodemanager, HDFS, Spark applications, Scala, sbt, plugin.sbt, build.sbt build.sbt, build, sbt-assembly plugin, JAR file)
ICT技術:ICT Technology What is Docker? Advantages and Challenges, Differences from Virtualization Infrastructure and Architecture Overview
Advantages and challenges of Docker used for digital transformation, artificial intelligence, and machine learning tasks, differences from virtualization infrastructure and architecture overview cgroups, resource management tools, virtual files, Linux kernel, Windows, Windows Server, pid namespace, user namespace, uts namespace, net namespace, nmt namespace, ipc namespace, hypervisor type, namespace, virtualization software, WIndows Server Container, non-stop server, mission-critical Live Migration, Capacity Planning, Orchestration, kubernetes, Immutable Infrastructure, Disposable Components, Loosely Coupled, IaaS, Cloud Computing
アルゴリズム:Algorithms Geometric approach to data
Geometric approaches to data utilized in digital transformation, artificial intelligence, and machine learning tasks (physics, quantum information, online prediction, Bregman divergence, Fisher information matrix, Bethe free energy function, the Gaussian graphical models, semi-positive definite programming problems, positive definite symmetric matrices, probability distributions, dual problems, topological, soft geometry, topology, quantum information geometry, Wasserstein geometry, Lupiner geometry, statistical geometry)