Overview of generalized linear models and their implementation in various languages
Generalized Linear Model Overview
The Generalized Linear Model (GLM) is a statistical modeling and machin...
R
How to create code development environments in various languages
How to create code development environments in various languages
In order to program, it is necessar...
Examples of iteration and branching implementations in various languages
summary
Among programming languages, the basic functionality is one element of the three functions of stru...
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)
Analysis in R and Clojure using Stan for Markov Chain Monte Carlo (MCMC) models
Implementation using R and Clojure of Stan, a computational tool using MCMC for Bayesian estimation used in digital transformation, artificial intelligence, and machine learning tasks.
Probabilistic Programming with Clojure
Probabilistic programming with Clojure.Anglican utilized for digital transformation, artificial intelligence, and machine learning tasks gorilla-repl, Stan, BUGS, Picture, Turing, Gen, PyStan PyMC, pomegranater, Lea, bayesloop, Edward, Tensorflow Probability, Pyro, BLOG, Dyna, ProbLog, Church, Anglican, Distributions
Statistical learning by linking Clojure and R
Use of R with Clojure, a statistical machine learning library used for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) tasks (Clojisr, Rojure, Rincanter, Huri, clj-iri, graalvm-interop, gg4clj, FastR, Rserve, Java)
Clojure and Python integration and machine learning
Implementation of a library (libpython-clj) and sample code (transformers, lime, autoencoder, etc.) for integration with Clojure for Python modules used for digital transformation, artificial intelligence and machine learning tasks
Protected: Structured Support Vector Machines
SVM structure learning and parsing using the deletion plane method algorithm on support vector machines utilized for digital transformation, artificial intelligence, and machine learning tasks, and protein similarity sequence search
Protected: Applications of State Space Models to Marketing
Application to marketing using evolution and evolution in time-series data analysis using state-space models utilized in digital transformation, artificial intelligence, and machine learning tasks.