Deep Time Series Forecasting With Python: An Intuitive Introduction To Deep Learning For Applied Time Series Modeling Pdf Book ISBN-10 1540809080, ISBN-13 978-1540809

Deep Time Series Forecasting With Python: An Intuitive Introduction To Deep Learning For Applied Time Series Modeling

By autor: N D Lewis
Computers and Technology books
DMCA

Master Deep Time Series Forecasting with Python! Deep Time Series Forecasting with Python takes you on a gentle, fun and unhurried practical journey to creating deep neural network models for time series forecasting with Python. It uses plain language rather than mathematics; And is designed for working professionals, office workers, economists, business analysts and computer users who want to tr...

Paperback: 212 pages
Publisher: CreateSpace Independent Publishing Platform (December 11, 2016)
Language: English
ISBN-10: 1540809080
ISBN-13: 978-1540809087
Product Dimensions: 6 x 0.5 x 9 inches
Amazon Rank: 2099428
Format: PDF ePub fb2 djvu ebook

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The book is intended to give a quick introduction to Python based implementation of neural nets and time series analysis. It covers a wide range of topics focusing on how to do the analysis using various Python libraries. While I have not tried all t...

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ning on their own time series data using Python.QUICK AND EASY: Using plain language, this book offers a simple, intuitive, practical, non-mathematical, easy to follow guide to the most successful ideas, outstanding techniques and usable solutions available using Python. Examples are clearly described and can be typed directly into Python as printed on the page.NO EXPERIENCE? I’m assuming you never did like linear algebra, don’t want to see things derived, dislike complicated computer code, and you’re here because you want to see how to use deep learning for time series forecasting explained in plain language, and try it out for yourself.THIS BOOK IS FOR YOU IF YOU WANT:Explanations rather than mathematical derivationReal world applications that make sense.Illustrations to deepen your understanding.Worked examples you can easily follow and immediately implement.Ideas you can actually use and try on your own data.CUT LEARNING TIME IN HALF!: This guide was written for people who want to get up to speed as soon as possible. Through a simple to follow process you will learn how to build deep time series forecasting models in the minimum amount of time using Python. Once you have mastered the process, it will be easy for you to translate your knowledge into your own powerful business applications.YOU'LL LEARN HOW TO:Unleash the power of Long Short-Term Memory Neural Networks .Develop hands on skills using the Gated Recurrent Unit Neural Network.Design successful applications with Recurrent Neural Networks.Deploy Nonlinear Auto-regressive Network with Exogenous Inputs..Adapt Deep Neural Networks for Time Series Forecasting.Master strategies to build superior Time Series Models.Everything you need to get started is contained within this book. Deep Time series Forecasting with Python is your very own hands on practical, tactical, easy to follow guide to mastery.Buy this book today and accelerate your progress!