REST API for Microservices Overview
REST API and RESTful services, key elemental technologies of microservices used for digital transformation and artificial intelligence tasks
ICT技術:ICT Technology
Implementation of a Bayesian optimization tool using Clojure
Introduction of Clojure implementation of Bayesian optimization tool, a (hyperparameter) optimization tool used for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) tasks, and opimx, an optimization comparison tool in R.
Protected: Implementation of a simple anomaly detection algorithm using Clojure
Implementation of simple anomaly detection algorithms (establishment density functions; PDF-based models) using Clojure for digital transformation (DX), artificial intelligence (AI), and machine learning (ML) tasks
Chatbot implementation using Clojure and Javascript and integration of AI functionality
Building a chatbot framework in Clojure and Javascript for use in digital transformation , artificial intelligence , and machine learning tasks and integrating various AI functions natural language processing, SVM, BERT, Transformer, Knowledge Graph, database, expert systems
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)
Protected: Microservices Architecture
The ideal enterprise system would be tightly integrated and provide all business functions as a single unit optimized for a particular technology stack and hardware. Such monolithic systems often become more complex over time and difficult to understand as a single unit by a single team. Domain-driven design advocates decomposing such systems into smaller modular components and assigning them to teams that focus on a single business capability in a limited context.
Thinking Machines Machine Learning and its Hardware Implementation
Summary
Many hardware implementations of machine learning are dedicated hardware. These means include the f...
Protected: Support Vector Machines for Weak Label Learning (2) Multi-Instance Learning
Extension of support vector machines utilized for digital transformation, artificial intelligence, and machine learning tasks; multi-instance learning approach with SVMs for weak-label learning problems (mi-SVM, MI-SVM)
Integration of Clojure with Javascript and node.js and web frameworks
Implementation of Clojure integration with web frameworks (javascript, React, node.js, etc.) used for digital transformation and artificial intelligence tasks using Clojurescript
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