Learn DL and ML for AI applications with MATLAB
Learn ML (Machine Learning) and DL (Deep Learning) for Artificial Intelligence (AI) Applications.
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MATLAB and Simulink Crash Course for Engineers is a reader-friendly introductory guide to the features, functions, and applications of MAT... -
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Design and analyze electronic components and systems with the help of powerful software and effective skillsets. Balancing theory with pra... -
Release 2024a offers hundreds of new and updated features and functions in MATLAB and Simulink. Learn more about what's new in R2024a: ...
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Overview Virtual sensor (also known as soft sensor) modeling is a powerful technique for mimicking the behavior of a physical sensor when ... -
In today’s technology-driven world, understanding complex systems and predicting their behavior before implementation is more important th... -
Advanced Control of Power Converters Unique resource presenting advanced nonlinear control methods for power converters, plus simulation, ... -
The eighth edition of Chapra and Canale's Numerical Methods for Engineers retains the instructional techniques that have made the text... -
MATLAB for Neuroscientists serves as the only complete study manual and teaching resource for MATLAB, the globally accepted standard for s... -
This book provides a broad-ranging, but detailed overview of the basics of Fuzzy Logic. The fundamentals of Fuzzy Logic are discussed in d... -
This book contains the latest developments in the implementation and application of Kalman filtering. Authors Grewal and Andrews draw upon...
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