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Applied Deep Learning: Tools, Techniques, and Implementation de Paul Fergus

Applied Deep Learning: Tools, Techniques, and Implementation: Computational Intelligence Methods and Applications

Autor Paul Fergus, Carl Chalmers
en Limba Engleză Paperback – 20 iul 2023
This book focuses on the applied aspects of artificial intelligence using enterprise frameworks and technologies. The book is applied in nature and will equip the reader with the necessary skills and understanding for delivering enterprise ML technologies. It will be valuable for undergraduate and postgraduate students in subjects such as artificial intelligence and data science, and also for industrial practitioners engaged with data analytics and machine learning tasks. The book covers all of the key conceptual aspects of the field and provides a foundation for all interested parties to develop their own artificial intelligence applications.
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Specificații

ISBN-13: 9783031044229
ISBN-10: 3031044223
Pagini: 341
Ilustrații: XXVII, 341 p. 1 illus.
Dimensiuni: 155 x 235 x 23 mm
Greutate: 0.57 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria Computational Intelligence Methods and Applications

Locul publicării:Cham, Switzerland

Cuprins

Part 1 Introduction and Overview.- Introduction.- Part 2 Foundations of Mashine Learning.- Fundamentals of Machine Learning.- Supervised Learning.- Un-Supervised Learning.- Performance Evaluation Metrics.- Part 3 Deep Learning Concepts and Techniques.-  Introduction to Deep Learning.- Image Classification and Object Detection.- Deep Learning Techniques for Time Series Modelling.- Natural Language Processing.- Deep Generative Models.- Deep Reinforcement Learning.- Part 4 Enterprise Machine Learning.- Accelerated Machine Learning.- Deploying and Hosting Machine Learning Models.- Enterprise Machine Learning Serving. 

Notă biografică

Prof. Paul Fergus is a Professor in Machine Learning and Dr. Carl Chambers is a Senior Lecturer in the Dept. of Computer Science of Liverpool John Moores University. Their teaching responsibilities include Machine Learning and Data Science. Their research interest includes Applied Machine Learning, Computer Vision, Signal Processing, and Pattern Recognition.

Textul de pe ultima copertă

This book focuses on the applied aspects of artificial intelligence using enterprise frameworks and technologies. The book is applied in nature and will equip the reader with the necessary skills and understanding for delivering enterprise ML technologies. It will be valuable for undergraduate and postgraduate students in subjects such as artificial intelligence and data science, and also for industrial practitioners engaged with data analytics and machine learning tasks. The book covers all of the key conceptual aspects of the field and provides a foundation for all interested parties to develop their own artificial intelligence applications.

Caracteristici

Illustrates how AI can be used to solve real-world problems within enterprise settings Deliberately written in such a way that makes it accessible to everyone regardless of their experience Provides a clear journey through the developing history of AI, especially in many enterprise applications