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Can I read Machine Learning Theory and Applications : Hands-on Use Cases with Python on Classical and Quantum Machines on EtoBox?

Machine Learning Theory and Applications : Hands-on Use Cases with Python on Classical and Quantum Machines by Vasques, Xavier; is a nonfiction available to read on EtoBox.

What is Machine Learning Theory and Applications : Hands-on Use Cases with Python on Classical and Quantum Machines about?

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 usin

Who reads Machine Learning Theory and Applications : Hands-on Use Cases with Python on Classical and Quantum Machines?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Vasques, Xavier;
Publisher
Wiley & Sons, Incorporated, John
Published
2024
Language
EN
ISBN
9781394220625
Category
nonfiction
Subjects
Science, Computer Science, Programming

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