Time Series for Data Science: Analysis and Forecasting Woodward Wayne A.
Time Series for Data Science: Analysis and Forecasting Woodward Wayne A. Data Science students and practitioners want to find a forecast that "works" and don't want to be constrained to a single…
Specifikacia Time Series for Data Science: Analysis and Forecasting Woodward Wayne A.
Time Series for Data Science: Analysis and Forecasting Woodward Wayne A.
Data Science students and practitioners want to find a forecast that "works" and don't want to be constrained to a single forecasting strategy, Time Series for Data Science: Analysis and Forecasting discusses techniques of ensemble modelling for combining information from several strategies. It places a particular emphasis on classical ARMA and ARIMA models that is often lacking from other textbooks on the subject.This book is an accessible guide that doesn't require a background in calculus to be engaging but does not shy away from deeper explanations of the techniques discussed.Features:Provides a thorough coverage and comparison of a wide array of time series models and methods: Exponential Smoothing, Covering time series regression models, exponential smoothing, Holt-Winters forecasting, and Neural Networks.
Practical Time Series Analysis