Applied Machine Learning with Python


Applied Machine Learning with Python
30 April 2020
By 作者:Andrea Giussani (author) (Author)
pages 页数: 164 pages
Publisher Finelybook 出版社: Bocconi University Press (30 April 2020)
Language 语言: English
ISBN-10 书号:8831322044
ISBN-13 书号:9788831322041
The Book Description robot was collected from Amazon and arranged by Finelybook
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 作者::the book-specific software egeaML, which is a good companion to implement the proposed Machine Learning methodologies in Python.


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