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Time Series Forecasting using Deep Learning

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Time Series Algorithms Recipes

-solution-style recipes, starting with data reading and preprocessing. It begins with the fundamentals of time series forecasting using statistical;

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Machine Learning for Time Series Forecasting with Python

Learn how to apply the principles of machine learning to time series modeling with this indispensable resource Machine Learning for;

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Hands-On Time Series Analysis with R

Build efficient forecasting models using traditional time series models and machine learning algorithms. Key Features Perform time series;

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Practical Time Series Forecasting with R

the acquired knowledge using real data - End-of-chapter problems to facilitate active learning - A companion site with data sets, R code;

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Road Traffic Modeling and Management

Road Traffic Modeling and Management: Using Statistical Monitoring and Deep Learning provides a framework for understanding and enhancing;

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Practical Time Series Analysis

. * Learn the statistics, theory, and implementation of Time-series methods using this example-rich guide Who This Book Is For This book;

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Advanced Forecasting with Python

Cover all the machine learning techniques relevant for forecasting problems, ranging from univariate and multivariate time series to;

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Wind Forecasting in Railway Engineering

, single-point time series along railways, deep learning algorithms on single-point wind forecasting, reinforcement learning algorithms, ensemble;

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Statistical Learning for Big Dependent Data

usefulness of lasso with time series and an evaluation of several machine learning procedure for forecasting large sets of time series Forecasting;

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Time Series Analysis and Forecasting using Python & R

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Applied Economic Forecasting using Time Series Methods

forecasting problems. Applied Economic Forecasting using Time Series Methods starts with a brief review of basic regression analysis with a focus on;

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Forecasting Economic Time Series using Locally Stationary Processes

Stationarity has always played an important part in forecasting theory. However, some economic time series show time-varying;

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Time Series Analysis and Forecasting by Example

the fundamental techniques in time series analysis using various examples. By introducing necessary theory through examples that showcase the;

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Forecasting Profits Using Price and Time

as support/resistance, moving average and Raff channels, Bollinger bands, and trendlines, Forecasting Profits Using Price & Time enables you;

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Deep Learning with Structured Data

Most businesses are far more interested in accurate forecasting and fraud detection using their existing structured datasets than;

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Machine Learning Using R

industry focused real-world use cases Tackle time series modeling in R Apply deep learning using Keras and TensorFlow in R Who This Book is For;

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Practical Time Series Forecasting

Practical Time Series Forecasting is a hands-on introduction to quantitative forecasting of time series. Quantitative forecasting is an;

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Advanced Time Series Data Analysis

Advanced Time Series Data Analysis: Forecasting Using EViews will appeal to researchers and practitioners in forecasting models, as well as those;

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Introduction To Time Series Analysis & F

background in mathematics and statistics. -MAA Reviews Thoroughly updated throughout, Introduction to Time Series Analysis and Forecasting, Second;

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Time Series

Focusing on Bayesian approaches and computations using analytic and simulation-based methods for inference, Time Series: Modeling;

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Concepts and Real-Time Applications of Deep Learning

This book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a;

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Forecasting Time Series Data with Facebook Prophet

and its dependencies Build practical forecasting models from real datasets using Python Understand the Fourier series and learn how it;

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Forecasting, Time Series, and Regression (with CD-ROM)

Awarded Outstanding Academic Book by CHOICE magazine in its first edition, FORECASTING, TIME SERIES, AND REGRESSION: AN APPLIED APPROACH;

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Deep Learning with Python

Cook The bestseller revised! Deep Learning with Python, Second Edition is a comprehensive introduction to the field of deep learning using;

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Practical Time Series Forecasting with R

Practical Time Series Forecasting with R is een boek van Galit Shmueli;

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Intelligent Data-Analytics for Condition Monitoring

for an optimized, efficient engineering processes. In addition, the book provides application perspectives of various deep learning models for;

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