hummingbird

キリスト教

Reading the Core of Christianity Building Bridges: Christianity and Modernity

Reading the Core of Christianity: Building Bridges-Christianity and Modernity (Augustine, With a Burning Heart, Christianity Reimagined, Henry Nawen, Theology of the Periphery, Wounded Healer, Healing People, Theology of the Periphery, Learn to Rejoice, Francis of Assisi, Pope Francis, Laudato Si, The Sun Song, Healing the Disconnect, Pontifex, Ecology)
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)
アルゴリズム:Algorithms

Implementation of Neural Networks and Error Back Propagation using Clojure

Implementation of neural nets and error back propagation using Clojure for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) tasks
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
情報理論/計算理論

Information Theory Math & Science Reading Notes

Machine Learning Technology.  Artificial Intelligence Technology   Digital Transformation Technology  Natural Language P...
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...
アルゴリズム:Algorithms

Protected: Information Geometry of Positive Definite Matrices (2) From Gaussian Graphical Models to Convex Optimization

Information geometry of positive definite matrices utilized in digital transformation, artificial intelligence, and machine learning tasks From Gaussian graphical models to convex optimization (chordal graphs, triangulation graphs, dual coordinates, Pythagorean theorem, information geometry, geodesics, sample variance-covariance matrix, maximum likelihood Estimation, divergence, knot space, Riemannian metric, multivariate Gaussian distribution, Kullback-Leibler information measure, dual connection, Euclidean geometry, narrowly convex functions, free energy)
アルゴリズム:Algorithms

Protected: Measures for Stochastic Bandid Problems -Theoretical Limitations and the ε-Greedy Method

Theoretical limits and ε-greedy method, UCB method, riglet lower bounds for consistent measures, and KL divergence as measures for stochastic banded problems utilized in digital transformation , artificial intelligence , and machine learning tasks
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