Mathematical Problems in Data Science

This book describes current problems in data science and Big Data. Key topics are data classification, Graph Cut, the Laplacian Matrix, Google Page Rank, efficient algorithms, hardness of problems, different types of big data, geometric data structures, topological data processing, and various learning methods.

Aceasta carte descrie problemele actuale in stiinta datelor si Big Data. Subiectele cheie sunt clasificarea datelor, Graph Cut, Matricea Laplaciana, Google Page Rank, algoritmi eficienti, duritatea problemelor, diferite tipuri de date mari, structuri geometrice de date, procesare topologica a datelor si diverse metode de invatare.