Machine Learning with Python

Name: Machine Learning with Python
Brand: Springer, Berlin
SKU: 9783031333415
Price: 37731 HUF
Availability: InStock

Theory and Implementation

Szerző: Amin Zollanvari

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer, Berlin

Elérhetőség: Beszállítói készleten

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This book is meant as a textbook for undergraduate and graduate students who are willing to understa...

Információk a könyvről

Szerző

Amin Zollanvari

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2023

oldal

472

EAN

9783031333415

Enbook ID

43298791

Kiadó

Springer, Berlin

Súly

834

Méretek

155 x 235

Teljes leírás

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.

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Machine Learning with Python

Theory and Implementation

Információk a könyvről

Teljes leírás

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