Modern Time Series Forecasting with Python
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Modern Time Series Forecasting with Python
Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas
Joseph, Manu; Tackes, Jeffrey
Packt Publishing Limited
09/2024
628
Mole
9781835883181
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
Table of Contents
Introducing Time Series
Acquiring and Processing Time Series Data
Analyzing and Visualizing Time Series Data
Setting a Strong Baseline Forecast
Time Series Forecasting as Regression
Feature Engineering for Time Series Forecasting
Target Transformations for Time Series Forecasting
Forecasting Time Series with Machine Learning Models
Ensembling and Stacking
Global Forecasting Models
Introduction to Deep Learning
Building Blocks of Deep Learning for Time Series
Common Modeling Patterns for Time Series
Attention and Transformers for Time Series
Strategies for Global Deep Learning Forecasting Models
Specialized Deep Learning Architectures for Forecasting
Probabilistic Forecasting and Other Use Cases
Multi-Step Forecasting
Evaluating Forecasts - Forecast Metrics
Evaluating Forecasts - Validation Strategies
Introducing Time Series
Acquiring and Processing Time Series Data
Analyzing and Visualizing Time Series Data
Setting a Strong Baseline Forecast
Time Series Forecasting as Regression
Feature Engineering for Time Series Forecasting
Target Transformations for Time Series Forecasting
Forecasting Time Series with Machine Learning Models
Ensembling and Stacking
Global Forecasting Models
Introduction to Deep Learning
Building Blocks of Deep Learning for Time Series
Common Modeling Patterns for Time Series
Attention and Transformers for Time Series
Strategies for Global Deep Learning Forecasting Models
Specialized Deep Learning Architectures for Forecasting
Probabilistic Forecasting and Other Use Cases
Multi-Step Forecasting
Evaluating Forecasts - Forecast Metrics
Evaluating Forecasts - Validation Strategies
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Table of Contents
Introducing Time Series
Acquiring and Processing Time Series Data
Analyzing and Visualizing Time Series Data
Setting a Strong Baseline Forecast
Time Series Forecasting as Regression
Feature Engineering for Time Series Forecasting
Target Transformations for Time Series Forecasting
Forecasting Time Series with Machine Learning Models
Ensembling and Stacking
Global Forecasting Models
Introduction to Deep Learning
Building Blocks of Deep Learning for Time Series
Common Modeling Patterns for Time Series
Attention and Transformers for Time Series
Strategies for Global Deep Learning Forecasting Models
Specialized Deep Learning Architectures for Forecasting
Probabilistic Forecasting and Other Use Cases
Multi-Step Forecasting
Evaluating Forecasts - Forecast Metrics
Evaluating Forecasts - Validation Strategies
Introducing Time Series
Acquiring and Processing Time Series Data
Analyzing and Visualizing Time Series Data
Setting a Strong Baseline Forecast
Time Series Forecasting as Regression
Feature Engineering for Time Series Forecasting
Target Transformations for Time Series Forecasting
Forecasting Time Series with Machine Learning Models
Ensembling and Stacking
Global Forecasting Models
Introduction to Deep Learning
Building Blocks of Deep Learning for Time Series
Common Modeling Patterns for Time Series
Attention and Transformers for Time Series
Strategies for Global Deep Learning Forecasting Models
Specialized Deep Learning Architectures for Forecasting
Probabilistic Forecasting and Other Use Cases
Multi-Step Forecasting
Evaluating Forecasts - Forecast Metrics
Evaluating Forecasts - Validation Strategies
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
