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MATLAB Machine Learning Recipes

control and estimation using MATLAB How these three areas complement each other How these three areas are needed for robust machine learning;

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MATLAB Machine Learning Recipes

control and estimation using MATLAB How these three areas complement each other How these three areas are needed for robust machine learning;

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MATLAB for Machine Learning

. In Detail MATLAB is the language of choice for many researchers and mathematics experts for machine learning. This book will help you build a;

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MATLAB Deep Learning

Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals;

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Machine Component Analysis with MATLAB

and dynamic behavior of engineering structures and components. MATLAB has transformed the way calculations are made for engineering problems;

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MATLAB

updated to reflect the functionality of the current version of MATLAB (R2021a), including the introduction of machine learning concepts and the;

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Data-Driven Science and Engineering

Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and MATLAB (R), this textbook;

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Electrical Machine Fundamentals with Numerical Simulation using MATLAB/SIMULINK

of fundamental concepts in the area of electrical machines, using simple language for optimal and enhanced learning Provides wide coverage of topics;

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Introduction to Statistical Machine Learning

machine learning are combined together they are a powerful tool for analysing various kinds of data in many computer science/engineering areas;

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Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach presents how machine;

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Machine Learning in Cognitive IoT

). Machine learning is explored by covering all the technical issues and various models used for data analytics during decision making at different;

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A Primer on Machine Learning Applications in Civil Engineering

. The aim of this book is to provide a broad overview of the available machine-learning techniques that can be utilized for solving civil;

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Statistics in MATLAB

Fulfilling the need for a practical user's guide, Statistics in MATLAB: A Primer provides an accessible introduction to the latest version;

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Statistics in MATLAB

Fulfilling the need for a practical user's guide, Statistics in MATLAB: A Primer provides an accessible introduction to the latest version;

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Machine Analysis with Computer Applications for Mechanical Engineers

directs students towards developing their own software for mechanism analysis using Excel & Matlab. An accompanying website includes a detailed;

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Practical MATLAB Deep Learning

Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that;

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Practical MATLAB Deep Learning

Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that;

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Machine Learning Techniques for Space Weather

Machine Learning Techniques for Space Weather provides a thorough and accessible presentation of machine learning techniques that can;

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Digital Signal Processing in Audio and Acoustical Engineering

-oriented perspective, modern concepts and methods of DSP including machine learning for audio acoustics and engineering. Content highlights include;

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Kernel Methods And Machine Learning

over 30 major theorems for kernel-based supervised and unsupervised learning models. The first of the theorems establishes a condition, arguably;

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MATLAB Programming for Biomedical Engineers and Scientists

MATLAB Programming for Biomedical Engineers and Scientists, Second Edition provides an easy-to-learn introduction to the fundamentals;

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Machine Learning Control Taming Nonlinear Dynamics and Turbulence

of the book employs powerful methods of machine learning for optimal nonlinear control laws. This machine learning control (MLC) is motivated and;

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Introduction to Pattern Recognition

learning as well as R&D engineers and university researchers in image and signal processing/analyisis, and computer vision. Matlab;

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MATLAB (R) With Applications in Mechanics and Tribology

specific problems from their area. There is plenty of information available on MATLAB (R) for the general engineer, but there is a gap in the field;

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Computational Methods for Deep Learning

explains the mechanism of deep learning using advanced mathematics. In particular, it emphasizes how to use TensorFlow and the latest MATLAB deep;

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Computational Methods for Deep Learning

explains the mechanism of deep learning using advanced mathematics. In particular, it emphasizes how to use TensorFlow and the latest MATLAB deep;

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Einde inhoud

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