Machine Learning Theory and Applications (Hardcover)

Langue : anglais

Edité par John Wiley & Sons Inc, New York, 2024

1394220618 / 9781394220618

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Hardcover. 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). Additional topics covered in Machine Learning Theory and Applications include: Current use cases of AI, including making predictions, recognizing images and speech, performing medical diagnoses, creating intelligent supply chains, natural language processing, and much moreClassical and quantum machine learning algorithms such as quantum-enhanced Support Vector Machines (QSVMs), QSVM multiclass classification, quantum neural networks, and quantum generative adversarial networks (qGANs)Different ways to manipulate data, such as handling missing data, analyzing categorical data, or processing time-related dataFeature rescaling, extraction, and selection, and how to put your trained models to life and production through containerized applicationsMachine Learning Theory and Applications is an essential resource for data scientists, engineers, and IT specialists and architects, as well as students in computer science, mathematics, and bioinformatics. The reader is expected to understand basic Python programming and libraries such as NumPy or Pandas and basic mathematical concepts, especially linear algebra. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

N° de réf. du vendeur 9781394220618

Titre
Machine Learning Theory and Applications (Hardcover)
Auteur
Xavier Vasques
Éditeur
John Wiley & Sons Inc, New York
Année de publication
2024
État de l'article
new
Reliure
Hardcover
Langue
anglais
ISBN à 10 chiffres
1394220618
ISBN à 13 chiffres
9781394220618

CitiRetail

Stevenage, Royaume-Uni

Vendeur avec une évaluation de 5 étoiles

Vendeur AbeBooks depuis 29 juin 2022

Frais d'expédition de Royaume-Uni vers Etats-Unis

Article7 à 14 jours ouvrés7 à 60 jours ouvrés
Premier articleEUR 43,05EUR 43,05
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