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Bestseller
BestsellerE-Book
Author Giussani, Andrea, 1965- author.

Title Applied Machine Learning with Python / Andrea Giussani.

Publication Info. [Place of publication not identified] : EGEA Spa - Bocconi University Press, [2020]
©2020

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Location Call No. Status
 Rocky Hill - Downloadable Materials  Freading Ebook    Downloadable
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Description 1 online resource (200 pages)
text file rdaft
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Summary If you are looking for an engaging book, rich in learning features, which will guide you through the field of Machine Learning, this is it. This book is a modern, concise guide of the topic. It focuses on current ensemble and boosting methods, highlighting contemporray techniques such as XGBoost (2016), Shap (2017) and CatBoost (2018), which are considered novel and cutting edge models for dealing with supervised learning methods. The author goes beyond the simple bag-of-words schema in Natural Language Processing, and describes the modern embedding framework, starting from the Word2Vec, in details. Finally the volume is uniquely identified by the book-specific software egeaML, which is a good companion to implement the proposed Machine Learning methodologies in Python.
Note Publisher metadata.
Subject COMPUTERS / Programming Languages / Python.
Genre/Form Electronic books.
Standard No. 9788831322140
ISBN 9788831322140
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