Machine Learning Classification Algorithms Using MATLAB

Nouman Azam

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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.

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Machine Learning Classification Algorithms Using MATLAB


Course properties

Form of education
Nonformal
Formal education level
Professional development
Recommended age for informal learning
19-25, 25-45, 45-65, 65+
Learning language
English
Discipline
Teacher training without subject specialization
Course authors
Nouman Azam
Organization
Simpliv is a global online learning marketplace that transforms lives by offering online training on a wide variety of topics. Created with the aim of making education accessible to all, Simpliv removes barriers to education among all communities, imparts life skills to learners, and bridges gaps in learning through cost-effective courses. Simpliv believes that learning has no boundaries. It brings learning to any person who wants to learn, whether it is management, technology, life sciences or any other subject of interest.
Organization characterization
https://www.simpliv.com/
Payment terms
event
Currency
USD
Course cost
9.99
IP transfer allowed
Entrance test
Groups formation by readiness level
Teachers presence
Tutors presence
Facilitators presence
Training materials forms
video lecture
Interactivity in training materials
Collaborative learning presence
Practical activities
coursework
Discussions, forums presence
Webinars, video conferences presence
meetup presence
LMS integration
Learning Analytics
Certification presence
Certification types
Certificate on Completion
Certificate name
Certificate on Completion
Certificate levels
ALL
Course time limits
Duration
4 (hours)
Opportunity to enter after start
Learning types (sync/async)
synhronous
Assessment types
creative work
Personal learning path possibility, course individualization
Special needs support
Learning technologies
Organizational learning

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