Implementation

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)

2022.12.01

ClojureLarge-Scaleデータ微分積分:Calculus最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

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

2022.11.29

アルゴリズム:Algorithms微分積分:Calculus最適化:Optimization機械学習:Machine Learning深層学習:Deep Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

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

2022.11.17

アルゴリズム:Algorithmsマルチエージェントシステム強化学習微分積分:Calculus最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra集合論:Set theory

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

2022.11.16

ClojureLarge-Scaleデータ機械学習:Machine Learning

Protected: Implementation of model-free reinforcement learning in python (1) epsilon-greedy method

Implementation in python of the epsilon-Greedy method, a model-free reinforcement learning method for use in digital transformation, artificial intelligence, and machine learning tasks, multi-armed bandit

2022.11.03

アルゴリズム:Algorithmsマルチエージェントシステム幾何学:Geometry強化学習最適化: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

Implementing a REST API for Microservices with Clojure using Pedestal

Implementation of a flexible REST API for microservices with Clojure using Pedestal for digital transformation (DX) and artificial intelligence (AI) tasks.

2022.10.20

web技術:web technologyネットワーク技術

State Space Model with Clojure: Implementation of Kalman Filter

State space models using Clojure for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) tasks: implementation of Kalman filter

2022.10.19

ClojureIOT技術:IOT Technologyアルゴリズム:Algorithmsベイズ推定微分積分:Calculus機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

Protected: Overview of model-based approach to reinforcement learning and its implementation in python

Overview of reinforcement learning with model-based approaches used for digital transformation, artificial intelligence, and machine learning tasks and its implementation in python Bellman Equation, Value Iteration, Policy Iteration

2022.10.14

pythonアルゴリズム:Algorithmsオンライン学習強化学習微分積分:Calculus最適化:Optimization機械学習:Machine Learning確率・統計:Probability and Statistics線形代数:Linear Algebra

Implementation of hidden Markov model with Viterbi algorithm and stochastic generative model using Clojure

Implementation of hidden Markov models with Viterbi algorithm and probabilistic generative models using Clojure for digital transformation, artificial intelligence, and machine learning tasks

2022.10.06

Clojureアルゴリズム:Algorithmsベイズ推定微分積分: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

Implementation in Clojure of streaming data processing for IOT, Stock Data Analysis

Implementation of core.async asynchronous applications using Clojure such as IOT and stock data analysis for digital transformation (DX), artificial intelligence (AI) and machine learning (ML) tasks

2022.10.05

ClojureIOT技術:IOT TechnologyStream Data Processing