推論技術:inference Technology

推論技術:inference Technology

Concrete and Abstract – natural language sematics and explain

Concrete and abstract to consider the meaning of natural language and explainable machine learning that can be used for digital transformation and artificial intelligence tasks.
推論技術:inference Technology

Protected: Instance recognition and retrieval (1) Instance retrieval using BoVW

Instance recognition and image retrieval technology based on image recognition technology used in digital transformationand artificial intelligence
Symbolic Logic

Creating Logic, Part I: Beginning Logic Reading Notes

A textbook of logic for artificial intelligence and basic mathematics (from propositional logic to predicate logic, and then semantics and multi-valued logic, intuitionistic logic)
IOT技術:IOT Technology

Sensor Data & IOT Technologies

Overview of sensor information handling, which is a central element of IOT technologies used for digital transformation and artificial intelligence tasks.
推論技術:inference Technology

Protected: Object Detection:Sliding Window Method and Negative Example Sequential Selection with Exampler-SVM, R-CNN

Various classifiers for object detection (Sliding Window Method and Negative Example Sequential Selection and Exampler-SVM, R-CNN) for digital transformation and artificial intelligence tasks.
推論技術:inference Technology

Protected: Introduction to Hierarchical Bayes (from GLM to Hierarchical Bayesian Model)

Bayesian inference that can be used for artificial intelligence (AI), natural language, and digital transformation (DX); generate hierarchical Bayesian models from GLM models to solve complex statistical models
推論技術:inference Technology

Protected: Convolutional Neural Networks (2) CNN Overview and Implementation

Overview of convolutional neural networks, a deep learning technique used for image recognition.
推論技術:inference Technology

Protected: Convolutional Neural Networks (1) Forward and Reverse Propagation Algorithms and Mini-Batch

Forward and back propagation algorithms and mini-batches as the basis for algorithms in DNNs that can be used for digital transformation and artificial intelligence tasks.
推論技術:inference Technology

Overview of Kernel Methods and Support Vector Machines

On kernel methods, one of the breakthroughs in machine learning technology
推論技術:inference Technology

Protected: Classification (4) Group learning(Ensemble Learning, Random Forest) and evaluation of learning results(Cross-validation method)

Algorithms for collective learning for data classification and evaluation of classification results (ensemble learning, bagging, boosting, random forests, cross-validation)
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