ICT技術:ICT Technology

python

Protected: Implementation of Model-Free Reinforcement Learning in python (3)Using experience for value assessment or strategy update: Value-based vs. policy-based

Value-based and policy-based implementations of model-free reinforcement learning in python for digital transformation, artificial intelligence, and machine learning tasks
Clojure

Protected: Stochastic gradient descent implementation using Clojure and Hadoop

Stochastic gradient descent implementation using Clojure and Hadoop for digital transformation, artificial intelligence, and machine learning tasks (mini-batch, Mapper, Reducer, Parkour, Tesser, batch gradient descent, join-step Partitioning, uberjar, Java, batch gradient descent, stochastic gradient descent, Hadoop cluster, Hadoop distributed file system, HDFS)
IOT技術:IOT Technology

Brain-machine interface utilization and OpenBCI

Brain Machine Interface applications and OpenBCI (Galea, VR, steam deck, Valve, Steam, EEG, EOG, EMG, EDA, PPG, Panatronix, UX, meditation, stress, Shimadzu, NIRS, rehabilitation, exoskeletal robots, and BMI neurorehabilitation, Blackrock Microsystems, LLC, functional compensatory, functional restorative, non-invasive, fMRI, invasive, magnetic brain field measurement, near infrared photometry, NIRD, EEG, EEG sensor, prosthetic hand)
Clojure

Use of ElasticStash for monitoring system operations, including microservices

Leveraging ElasticStash for system operations monitoring, including microservices leveraged for digital transformation artificial intelligence, and machine learning tasks Riemann, rollup, throttle structure, KafKa plugin, UTC, timbre LogStash, log4j, tools.logging, structured logging, common log formats, visualization features, dashboards, Kibana, pipeline, UDP, Collectd, RRD, stdin, stdout, ELK Stack, Elastic Stack Apache Kafka
コンピューター

KI 2019: Advances in Artificial Intelligence Papers

KI2019 In the previous article, we discussed KI 2018. In this issue, we describe the 42nd German Con...
アーキテクチャ

Installation and operation of Apache server and LAMP

Installation and operation of Apache server and LAMP (MariaDB, PHP, CentOS, Mac, Windows) utilized for digital transformation (DX), artificial intelligence (AI) and machine learning (ML) tasks
アルゴリズム:Algorithms

Protected: Implementation of model-free reinforcement learning in python (2) Monte Carlo and TD methods

Python implementations of model-free reinforcement learning such as Monte Carlo and TD methods Q-Learning, Value-based methods, Monte Carlo methods, neural nets, Epsilon-Greedy methods, TD(lambda) methods, Muli-step Learning, Rainbow, A3C/A2C, DDPG, APE-X DDPG, Muli-step Learning) Epsilon-Greedy method, TD(λ) method, Muli-step Learning, Rainbow, A3C/A2C, DDPG, APE-X DQN
Clojure

Protected: Clojure implementation of distributed computation processing (map-reduce) used in Hadoop

Clojure implementation of distributed computation processing (map-reduce) used in Hadoop for digital transformation, artificial intelligence, and machine learning tasks Tesser, Reducer function, fold, cost function, gradient descent method, feature extraction, feature-scales function, feature scaling, gradient descent learning rate, gradient descent update rule, iterative algorithm, multiple regression, correlation matrix, fuse, commutative, linear regression, co-reduction, and covariance) feature-scales function, feature scaling, gradient descent learning rate, gradient descent update rule, iterative algorithm, multiple regression, correlation matrix, fuse, commutativity, linear regression, covariance, Hadoop, pararrel fold
Clojure

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
IOT技術:IOT Technology

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)
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