[PDF/ePUB] Data Science for Supply Chain Forecasting

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Using data science in order to solve a problem requires a scientific mindset more than coding skills. Data Science for Supply Chain Forecasting, Second Edition contends that a true scientific method which includes experimentation, observation, and constant questioning must be applied to supply chains to achieve excellence in demand forecasting. This second edition adds more than 45 percent extra content with four new chapters including an introduction to neural networks and the forecast value added framework. Part I focuses on statistical "traditional" models, Part II, on machine learning, and the all-new Part III discusses demand forecasting process management. The various chapters focus on both forecast models and new concepts such as metrics, underfitting, overfitting, outliers, feature optimization, and external demand drivers. The book is replete with do-it-yourself sections with implementations provided in Python (and Excel for the statistical models) to show the readers how to apply these models themselves. This hands-on book, covering the entire range of forecasting--from the basics all the way to leading-edge models--will benefit supply chain practitioners, forecasters, and analysts looking to go the extra mile with demand forecasting.

✔ Author(s):
✔ Title: Data Science for Supply Chain Forecasting
✔ Rating : 4.7 out of 5 base on (85 reviews)
✔ ISBN-10: 3110671107
✔ ISBN-13: 9783110671100
✔ Language: English
✔ Format ebook: PDF, EPUB, Kindle, Audio, HTML and MOBI
✔ Device compatibles: Android, iOS, PC and Amazon Kindle

Readers' opinions about Data Science for Supply Chain Forecasting by Nicolas Vandeput

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Virginia Savage
The author's writing style is so captivating; I couldn't put the book down. Every sentence was beautifully crafted, and the descriptions painted vivid images in my mind. A true literary gem.
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Kara Snyder
What an intellectual journey! The themes explored in this book challenged my perceptions and sparked introspection. It's refreshing to read a book that provokes such thought.
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Rosa Bax
The plot was so well-paced that I lost track of time while reading. I was completely immersed in the story, eagerly turning the pages to uncover the next twist.


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