Eikosstatistics & data science

Machine Learning & Artificial Intelligence · Data Mining & Feature Engineering

Data Mining: Unstructured Data and Advanced Topics

Public introduction · full guide in Eikos

Introduction

What this guide covers

Introduction Introduction Data Mining & Statistical Learning

Overview

Topics covered

  • Introduction
  • Unstructured data mining and advanced topics
  • Fundamentals and taxonomy of unstructured data
  • Data taxonomy: structured, semi-structured and unstructured
  • Vector space and the curse of dimensionality
  • Text processing and mining (advanced NLP)

Related concepts

Main connections

  • Linear algebra & matrices
  • Vector embeddings & latent space
  • Supervised machine learning
  • Unsupervised learning & clustering
  • Neural networks & deep learning
  • Maximum likelihood estimation

Compatible notation

Mathematical sample in LaTeX

The expression is rendered accessibly, with its LaTeX source preserved below.

limD→∞Distmax−DistminDistmin=0
View LaTeX source\lim_{D \to \infty} \frac{\text{Dist}_{\max} - \text{Dist}_{\min}}{\text{Dist}_{\min}} = 0