Applied Machine Learning with Python - Softcover

Giussani, Andrea

 
9788831322041: Applied Machine Learning with Python

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

Andrea Giussani is an Academic Fellow in Computer Science at Bocconi University. He holds a PhD in Statistics, and he has published in several peer-reviewed journals.

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9788899902650: Applied machine learning with Python

Vorgestellte Ausgabe

ISBN 10:  8899902658 ISBN 13:  9788899902650
Verlag: Bocconi University Press, 2020
Softcover