Time: May 16, 2018 at 6am to May 16, 2019 at 7pm
Location: Online Courses
Street: Online Courses
Website or Map: https://www.simpliv.com/devel…
Event Type: machine, learning, classification
Organized By: simpliv
Latest Activity: May 16
This course is for you If you are being fascinated by the field of Machine Learning?
Basic Course Description
This course is designed to cover one of the most interesting areas of machine learning called classification. I will take you step-by-step in this course and will first cover the basics of MATLAB. Following that we will look into the details of how to use different machine learning algorithms using MATLAB. Specifically, we will be looking at the MATLAB toolbox called statistic and machine learning toolbox.We will implement some of the most commonly used classification algorithms such as K-Nearest Neighbor, Naive Bayes, Discriminant Analysis, Decision Tress, Support Vector Machines, Error Correcting Ouput Codes and Ensembles. Following that we will be looking at how to cross validate these models and how to evaluate their performances. Intuition into the classification algorithms is also included so that a person with no mathematical background can still comprehend the esesential ideas. The following are the course outlines.
Click here To join us for more information: https://www.simpliv.com/developmenttool/machine-learning-classification-algorithms-using-matlab