Overview
What you will study
As the name suggests, classification algorithms are what allow computers to well...classify new observations, like how your inbox decides which incoming emails are spam or how Siri recognizes your voice. The Essential MATLAB and Simulink Training Bundle offered by Skillwise will show you how to implement classification algorithms using MATLAB, one of the most powerful tools inside a data scientist's toolbox. Following along step-by-step, you'll start with the MATLAB basics then move on to working with key classification algorithms, like K-Nearest Neighbor, Discriminant Analysis, and more as you come to grips with this machine learning essential. Upon completion of this course, and all courses included in the bundle, you'll also receive a certification of completion validating your new skills.
Programme Structure
The program focuses on:
- Explore the MATLAB basics
- The Statistic and Machine Learning toolbox
- Familiarize yourself w/ key classification algorithms
- K-Nearest Neighbor & Decision Trees
- Learn how to confidently implement machine learning algorithms using MATLAB
- Understand how to perform a meaningful analysis of your data & share it w/ others
Key information
Duration
- Part-time
- 2 days
Start dates & application deadlines
• Contact the university for information about the start dates.
Language
Delivered
Disciplines
Software Engineering View 554 other Short Courses in Software Engineering in United StatesAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Experience level required: beginner
Technological requirements
- Students must install MATLAB on their computers
Tuition Fee
-
International
65 USD/fullTuition FeeBased on the tuition of 65 USD for the full programme during 2 days. -
National
65 USD/fullTuition FeeBased on the tuition of 65 USD for the full programme during 2 days.