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Practical Time Series Analysis

You're reading from Practical Time Series Analysis

Product type Book

Published in Sep 2017

Publisher Packt

ISBN-13 9781788290227

Pages 244 pages

Edition 1st Edition

Languages

Concepts

Data Visualization

Authors (2):

Avishek Pal

PKS Prakash

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Table of Contents (13) Chapters

Title Page

Credits

About the Authors

About the Reviewer

www.PacktPub.com

Customer Feedback

Preface

1. Introduction to Time Series

2. Understanding Time Series Data

3. Exponential Smoothing based Methods

4. Auto-Regressive Models

5. Deep Learning for Time Series Forecasting

6. Getting Started with Python

Chapter 3. Exponential Smoothing based Methods

The current chapter covers data smoothing on time-series signal. The chapter is organized as follows:

Introduction to time series smoothing
First order exponential smoothing
Second order exponential smoothing
Modelling higher order exponential smoothing
Summary

The rest of the chapter is locked

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Authors (2)

Avishek Pal

Dr. Avishek Pal, PhD, is a software engineer, data scientist, author, and an avid Kaggler living in Hyderabad, India. He achieved his Bachelor of Technology degree in industrial engineering from the Indian Institute of Technology (IIT) Kharagpur and earned his doctorate in 2015 from University of Warwick, Coventry, United Kingdom. He started his career as a software engineer at IBM India developing middleware solutions for telecom clients. This was followed by stints at a start-up product development company followed by Ericsson, the global telecom giant. After doctoral studies, Avishek started his career in India as a lead machine learning engineer for a leading US-based investment company. He is currently working at Microsoft as a senior data scientist. Avishek has published several research papers in reputed international conferences and journals.

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PKS Prakash

Dr. PKS Prakash is a data scientist and author. He has spent the last 12 years in developing many data science solutions in several practical areas in healthcare, manufacturing, pharmaceuticals, and e-commerce. He currently works as the data science manager at ZS Associates. He is the co-founder of Warwick Analytics, a spin-off from University of Warwick, UK. Prakash has published articles widely in research areas of operational research and management, soft computing tools, and advanced algorithms in leading journals such as IEEE-Trans, EJOR, and IJPR, among others. He has edited an article on Intelligent Approaches to Complex Systems and contributed to books such as Evolutionary Computing in Advanced Manufacturing published by WILEY and Algorithms and Data Structures using R and R Deep Learning Cookbook, published by PACKT.

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