Data Science for Supply Chain Forecast

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  • Engels
  • Paperback
  • 9781730969430
  • 12 november 2018
  • 238 pagina's
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Samenvatting

Data Science for Supply Chain Forecast is a book for practitioners focusing on data science and machine learning; it demonstrates how both are closely interlinked in order to create an advanced forecast for supply chain. As one will discover in this book, artificial intelligence (AI) & machine learning (ML) are not simply a question of coding skills. Using data science in order to solve a problem requires a scientific mindset more than coding skills. The story behind these models is one of experimentation, of observation and of constant questioning; a true scientific method must be applied to supply chain.
In the data science field as well as that of the supply chain, simple questions do not come with simple answers. In order to resolve these questions, one needs to be both a scientist as well as to use the correct tools. In this book, we will discuss both.

Is this Book for me?
This book has been written for supply chain practitioners, forecasters and analysts who are looking to go the extra mile. You do not need technical IT skills to start using the models of this book. You do not need a dedicated server or expensive software licenses: you solely need your own computer. You do not need a PhD in mathematics: mathematics will only be utilized as a tool to tweak and understand the models. In the majority of the cases – especially when it comes to machine learning – a deep understanding of the mathematical inner workings of a model will not be necessary in order to optimize it and understand its limitations.

Productspecificaties

Inhoud

Taal
en
Bindwijze
Paperback
Oorspronkelijke releasedatum
12 november 2018
Aantal pagina's
238
Illustraties
Nee

Betrokkenen

Hoofdauteur
Nicolas Vandeput
Hoofduitgeverij
Independently Published

Overige kenmerken

Extra groot lettertype
Nee
Product breedte
152 mm
Product hoogte
13 mm
Product lengte
229 mm
Studieboek
Ja
Verpakking breedte
152 mm
Verpakking hoogte
13 mm
Verpakking lengte
229 mm
Verpakkingsgewicht
322 g

EAN

EAN
9781730969430

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