
Gifting Made Simple
Give the Gift of ChoiceClick below to purchase a Bramalea City Centre eGift Card that can be used at participating retailers at Bramalea City Centre.Purchase HereHome
Advanced Explorations in Machine Learning, Computer Vision, and IoT
Coles
Loading Inventory...
Advanced Explorations in Machine Learning, Computer Vision, and IoT in Brampton, ON
By None
Current price: $95.99

Coles
Advanced Explorations in Machine Learning, Computer Vision, and IoT in Brampton, ON
By None
Current price: $95.99
Loading Inventory...
Size: Kobo eBook
*Product information and pricing may vary - to confirm current pricing, availability, shipping, and return information please contact Coles. In the event of a pricing discrepancy, the retailer's price will apply.
Advanced Explorations in Machine Learning, Computer Vision, and IoT focuses on the convergence of machine learning algorithms, computer vision techniques, and Internet of Things (IoT) infrastructures to enable scalable, adaptive, and real-time intelligent applications.
Balancing strong theoretical foundations with system-level design considerations, the book serves as a structured guide for readers interested in how advanced mathematical models and learning paradigms drive modern AI-enabled IoT ecosystems.
The book begins with the mathematical, probabilistic, and computational principles underlying machine learning and visual intelligence, with subsequent chapters exploring linear and nonlinear models, kernel methods, neural networks, deep learning architectures, and optimisation techniques.
Advanced Explorations in Machine Learning, Computer Vision, and IoT focuses on the convergence of machine learning algorithms, computer vision techniques, and Internet of Things (IoT) infrastructures to enable scalable, adaptive, and real-time intelligent applications.
Balancing strong theoretical foundations with system-level design considerations, the book serves as a structured guide for readers interested in how advanced mathematical models and learning paradigms drive modern AI-enabled IoT ecosystems.
The book begins with the mathematical, probabilistic, and computational principles underlying machine learning and visual intelligence, with subsequent chapters exploring linear and nonlinear models, kernel methods, neural networks, deep learning architectures, and optimisation techniques.





















