COURSE DESCRIPTION: Machine learning (ML) is the study of computer algorithms that improve automatically through experience. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks. This course covers the mathematical concepts associated with machine learning important in areas of Computer Science, Data Science and Artificial Intelligence.

Learning Objectives:

• Linear Regression
• Linear Discriminant Analysis
• Logistic Regression
• Artificial Neural Networks
• Support Vector Machines

AVERAGE STUDY TIME: 5-6 HOURS

Completion of this course delivers a 4PRO+ CERTIFICATE OF PROFICIENCY and includes a BADGE/SEAL for the Certificate of Math for Machine Learning Proficiency (4CMMP) course which has been reviewed and approved by the 4ProPlus Educational and Technical Advisory Boards.