Labs for Foundations of Applied Mathematics Volume III: Modeling with Uncertainty and DataКНИГИ » ПРОГРАММИНГ
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
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Labs for Foundations of Applied Mathematics Volume III: Modeling with Uncertainty and Data 
