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Xavier Vasques Machine Learning Theory and Applications (Hardback)
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Specificaties
- Objectstaat
- Book Title
- Machine Learning Theory and Applications
- Title
- Machine Learning Theory and Applications
- Subtitle
- Hands-on Use Cases with Python on Classical and Quantum Machines
- EAN
- 9781394220618
- ISBN
- 9781394220618
- Genre
- Technology & Engineering
- Release Date
- 02/15/2024
- Release Year
- 2024
- Country/Region of Manufacture
- US
- Publication Year
- 2024
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Publication Name
- Machine Learning Theory and Applications : Hands-On Use Cases with Python on Classical and Quantum Machines
- Item Height
- 1.5in
- Item Length
- 11.1in
- Publisher
- Wiley & Sons, Incorporated, John
- Item Width
- 8.8in
- Item Weight
- 58.4 Oz
- Number of Pages
- 512 Pages
Over dit product
Product Information
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 more Classical 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 data Feature rescaling, extraction, and selection, and how to put your trained models to life and production through containerized applications Machine 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.
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
1394220618
ISBN-13
9781394220618
eBay Product ID (ePID)
13062033235
Product Key Features
Publication Name
Machine Learning Theory and Applications : Hands-On Use Cases with Python on Classical and Quantum Machines
Format
Hardcover
Language
English
Publication Year
2024
Type
Textbook
Number of Pages
512 Pages
Dimensions
Item Length
11.1in
Item Height
1.5in
Item Width
8.8in
Item Weight
58.4 Oz
Additional Product Features
Lc Classification Number
Q325.5.V37 2024
Copyright Date
2024
Topic
General, Databases / Data Mining
Lccn
2023-039030
Dewey Decimal
006.31
Intended Audience
Scholarly & Professional
Dewey Edition
23
Genre
Computers, Science
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