Overview
Taken as a continuation from Machine Learning I: An Introduction for Absolute Beginners, this course introduces supervised learning techniques.
Develop a better understanding of the mathematics that underlies machine learning (ML), the Python programming knowledge needed to implement ML algorithms, and apply this practical know-how by solving problems in a project.
Course Description & Learning Outcomes
At the end of the course, you will be able to: - Understand the math for machine learning such as linear algebra, statistics, calculus and more - Understand Python programming for machine learning - Be exposed to regression and the various classifications of machine learning, before putting your knowledge together in a project
Recommended Prerequisites
- Attended Machine Learning I: An Introduction for Absolute Beginners OR - Possess basic knowledge of the Python programming language; and - Possess basic knowledge of ML fundamentals
Pre-course instructions
Contact for further enquiries here: https://www.singaporetech.edu.sg/sitlearn/contact-us#no-back Registration close date: 26/10/2023
Schedule
End Date: 01 Dec 2023, Friday
Every Fri, 9:00 am – 6:00 pm
Location: SIT@NYP Campus, 172A Ang Mo Kio Avenue 8, 567739Pricing
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