Protected: Support Vector Machines – Overview
Overview of SVMs (Support Vector Machines), the basis for various machine learning methods such as classification, regression, and unsupervised learning.
数学:Mathematics
Protected: Mixed Unigram Model
Basics of topic models for classification of document data, compound unigram models and LDA for teaching beginners
Protected: Unigram Model
Basics of topic model for classification of document data for education of beginners, unigram model
What is meaning (1)
Artificial Intelligence (Robots) and the Meaning of Words from a Philosophical Perspective, Semantic and Formal Approaches
Structures, Algorithms, and Functions
The meaning of words from the perspective of algebraic structures, formal logic and mathematical logic
Protected: Proof of Indeterminacy
Algorithms for identifying the limits of algorithms, proving undecidability, and problems that cannot be computed.
Formal Languages and Mathematical Logics
Overview of formal linguistics and semantics as a basis for programming languages and natural language processing
Protected: Bayesian Estimation and Information Theory
Bayesian estimation and information theory for artificial intelligence (AI), machine learning (ML), and natural language processing (NLP), from de Moivre's probability theory to Bayesian probability and Shannon's information engineering and tools for Bayesian estimation (STAN)
Integration of probability and logic (1) Bayesian Net, KBMC, PRM and SRL
Integration of probability and logic, automatic generation of Bayesian nets using knowledge base (KBMC), prolog, backward reasoning
Fundamentals of Computer Mathematics
Overview of computer mathematics as a basis for artificial intelligence and machine learning techniques, functions, sets, probability, simultaneous equations, differentiation, and integration.