Data Science for Supply Chain Forecast

By Nicolas Vandeput

Data Science for Supply Chain ForecastData 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

• Format: Paperback
• Language: English
• ISBN: 1730969437
• ISBN13: 9781730969430
• Release Date: November 2018
• Publisher: Independently Published
• Length: 238 Pages
• Weight: 0.96 lbs.
• Dimensions: 0.5" x 6.0" x 9.0"