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  7. Machine Learning with Python: Theory and Implementation

Machine Learning with Python: Theory and Implementation

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-15% su kodu: ENG15
126,21 €
Įprasta kaina: 148,48 €
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
126,21 €
Įprasta kaina: 148,48 €
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
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Knyga minkštu viršeliu 107,23 € Knyga kietu viršeliu 148,48 €
2025-02-28 148.4800 InStock
Nemokamas pristatymas į paštomatus per 11-15 darbo dienų užsakymams nuo 20,00 €

Knygos aprašymas

This book is meant as a textbook for undergraduate and graduate students who are willing to understand essential elements of machine learning from both a theoretical and a practical perspective. The choice of the topics in the book is made based on one criterion: whether the practical utility of a certain method justifies its theoretical elaboration for students with a typical mathematical background in engineering and other quantitative fields. As a result, not only does the book contain practically useful techniques, it also presents them in a mathematical language that is accessible to both graduate and advanced undergraduate students.

The textbook covers a range of topics including nearest neighbors, linear models, decision trees, ensemble learning, model evaluation and selection, dimensionality reduction, assembling various learning stages, clustering, and deep learning along with an introduction to fundamental Python packages for data science and machine learning such as NumPy, Pandas, Matplotlib, Scikit-Learn, XGBoost, and Keras with TensorFlow backend.
Given the current dominant role of the Python programming language for machine learning, the book complements the theoretical presentation of each technique by its Python implementation. In this regard, two chapters are devoted to cover necessary Python programming skills. This feature makes the book self-sufficient for students with different programming backgrounds and is in sharp contrast with other books in the field that assume readers have prior Python programming experience. As such, the systematic structure of the book, along with the many examples and exercises presented, will help the readers to better grasp the content and be equipped with the practical skills required in day-to-day machine learning applications.

Informacija

Autorius: Amin Zollanvari
Leidėjas: Springer Nature Switzerland
Išleidimo metai: 2023
Knygos puslapių skaičius: 472
ISBN-10: 3031333411
ISBN-13: 9783031333415
Formatas: 241 x 160 x 31 mm. Knyga kietu viršeliu
Kalba: Anglų

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