Machine Learning Theory and Applications: Hands-on Use Cases with Python on Classical and Quantum Machines 1st Edition by Xavier Vasques – Ebook PDF Instant Download/Delivery: 9781394220618, 1394220618
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Product details:
ISBN 10: 1394220618
ISBN 13: 9781394220618
Author: Xavier Vasques
Machine Learning Theory and Applications
Enables readers to understand mathematical concepts behind data engineering and machine learning algorithms and apply them using open-source Python libraries
Machine Learning Theory and Applications delves into the realm of machine learning and deep learning, exploring their practical applications by comprehending mathematical concepts and implementing them in real-world scenarios using Python and renowned open-source libraries. This comprehensive guide covers a wide range of topics, including data preparation, feature engineering techniques, commonly utilized machine learning algorithms like support vector machines and neural networks, as well as generative AI and foundation models. To facilitate the creation of machine learning pipelines, a dedicated open-source framework named hephAIstos has been developed exclusively for this book. Moreover, the text explores the fascinating domain of quantum machine learning and offers insights on executing machine learning applications across diverse hardware technologies such as CPUs, GPUs, and QPUs. Finally, the book explains how to deploy trained models through containerized applications using Kubernetes and OpenShift, as well as their integration through machine learning operations (MLOps).
Table of contents:
1 Concepts, Libraries, and Essential Tools in Machine Learning and Deep Learning
2 Feature Engineering Techniques in Machine Learning
3 Machine Learning Algorithms
4 Natural Language Processing
5 Machine Learning Algorithms in Quantum Computing
6 Machine Learning in Production
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Tags: Xavier Vasques, Machine Learning, Theory, Applications, Cases, Python, Classical, Quantum Machines