Home : Book details

Machine Learning Theory and Applications: Hands-on Use Cases with Python on Classical and Quantum Machines free ebook download

Category:
Computer Science

Views: 219
Likes: 3

Catalogue

Author(s):	Xavier Vasques

Date:	2024	Format:	pdf	Language:	English	ISBN/ASIN:	1394220618
Pages:	512	OCR:		Quality:		ISBN13:
Uploader:	rubybook	Upload Date:	1/11/2024 7:22:11 AM

To download click on link in the Links Table below

Description: Click to see full description

1394220618 pdf
Machine Learning Theory and ApplicationsEnables readers to understand mathematical concepts behind data engineering and machine learning algorithms and apply them using open-source Python librariesMachine 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 moreCurrent 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)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 dataDifferent 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 applicationsFeature 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.

Links Table

	Title	Link	Password	Size (MB)	Thank to	Inform Admin
3222733	Download	https://nitroflare.com/view/78F708AA7EF0...		38.00	rubybook

Tags: Applications Cases Classical Hands-on Learning Machine Machines Python Quantum Theory

Title	Link	Password	Size	Reason

Those who downloaded this book also downloaded the following books:
Comments

New comment:

Machine Learning Theory and Applications: Hands-on Use Cases with Python on Classical and Quantum Machines free ebook download

Category: Computer Science

Description: Click to see full description

Category:
Computer Science