Labs for Foundations of Applied Mathematics. V. 3: Modeling with Uncertainty and Data

Аннотация

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. Alphabet. CDHMM Generation. Speech Recognition. Bayesian Updates. Bayesian Search. Metropolis Algorithm. Ising Model.