Machine Learning course from Stanford University on Coursera. function J = computeCost(X, y, theta) # Initialize some useful values m = length(y); # number of training examples # You need to return ...
This Matlab package implements machine learning algorithms described in the great textbook: Pattern Recognition and Machine Learning by C. Bishop (PRML). It is written purely in Matlab language. It is ...
Today, I’ve teamed up with Ram Cherukuri of MathWorks to provide an overview of the MathWorks toolchain for machine learning (ML) and the deployment of embedded ML inference on Arm Cortex-A using the ...
Discover why the MATLAB programming environment is highly favored by researchers and math experts for machine learning with this guide which is designed to enhance your proficiency in both machine ...
MathWorks’ MATLAB 2018b release serves up a number of new features, including the Deep Learning Toolbox that supports development of machine-learning applications. Other new features include the 5G ...
Abstract: This paper presents a dynamic selector model for data workload prediction. A main function responsible for selecting the most accurate Machine Learning Algorithm (e.g., Linear Regression, ...
This deal offers 180 lessons on how to get started with Matlab and Simulink. With 4 courses and over 20 hours of content, you will be introduced to performing machine learning and data analysis with ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback