Machine Learning with Python

1. Auflage 2024
ISBN: 978-3-11-069716-2
Verlag: De Gruyter

Buch, Englisch, 476 Seiten, Format (B × H): 168 mm x 236 mm, Gewicht: 816 g

Reihe: De Gruyter STEM

This book explains how to use the programming language Python to develop machine learning and deep learning tasks. It provides readers with a solid foundation in the fundamentals of machine learning algorithms and techniques. The book covers a wide range of topics, including data preprocessing, supervised and unsupervised learning, model evaluation, and deployment. By leveraging the power of Python, readers will gain the practical skills necessary to build and deploy effective machine learning models, making this book an invaluable resource for anyone interested in exploring the exciting world of artificial intelligence.

Zielgruppe

Graduate and postgraduate students, researchers, developers, prog

Autoren/Hrsg.

Barua, Tarkeshwar

Hiran, Kamal Kant

Jain, Ritesh Kumar

Doshi, Ruchi

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Programmierung: Methoden und Allgemeines
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen

Über Autor(innen)

Tarkeshwar Barua, Blue Crest Univ., Liberia; Kamal Kant Hiran, Sir Padampat Singhania University, India; Ritesh Kumar Jain, Geetanjali Inst. of Tech. Studies, India; Doshi Ruchi, Universidad Azteca, Mexico