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portada Applied Machine Learning with Python
Type
Physical Book
Language
English
Pages
200
Format
Paperback
Dimensions
23.9x17x1.3 cm
Weight
0.34 kg.
ISBN13
9788831322041

Applied Machine Learning with Python

Andrea Giussani (Author) · Egea Spa - Bocconi University Press · Paperback

Applied Machine Learning with Python - Giussani, Andrea

New Book Imported to Taiwan
Delivery: 29 Sep - 07 Oct Shipping: 5 to 6 business days.
NT$ 1,356
NT$ 1,356

Synopsis "Applied Machine Learning with Python"

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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