Название: Labs for Foundations of Applied Mathematics Volume III: Modeling with Uncertainty and Data
Автор: Various
Издательство: Autoedici?n
Год: 2016
Формат: pdf
Страниц: 239
Размер: 2,1 mb.
Язык: English
This lab manual is designed to accompany the textbook Foundations of Applied Mathematics by Humpherys and Jarvis.
Contents:
SQL
Intro to pandas
State Machines
Web Scraping
Web Technologies
Introduction to Parallel Programming
Collective Communication in Parallel Programs
MongoDB
Principal Component Analysis
Latent Semantic Indexing
Kalman Filter
Projectile Tracking
HMM State Estimation
English Language
HMM Parameter Estimation
Russian Alphabet
CDHMM Generation
Speech Recognition
Bayesian Updates
Bayesian Search
Metropolis Algorithm
Ising Model
Gibbs Sampling
Latent Dirichlet Allocation
K-Means Clustering
Gaussian Mixture Models
Crime Mapping
Classification Trees
Random Forests
K-Nearest Neighbors and Support Vector Machines
Image Recognition Tasks