Overview
This 2-part series course provides you with the fundamental principles of machine learning (ML), differentiating the common types of ML such as supervised and unsupervised learning, and how they’re being utitlised in various applications such as face detection and algorithm trading.
Upon completion, may register for Machine Learning II: Machine Learning Fundamentals and Supervised Learning.
Course Description & Learning Outcomes
At the end of the course, you will be able to: - Understand machine learning and the various types of it - Be exposed to machine learning applications and development of these applications in real-time - Code machine learning applications using Jupyter Notebooks and design a prototype in Python programmin
Recommended Prerequisites
This introductory course is aimed to provide an insight into machine learning for a non-technical audience. Knowledge of programming (Python) is not necessary but would be beneficial.
Pre-course instructions
Contact for further enquiries here: https://www.singaporetech.edu.sg/sitlearn/contact-us#no-back Registration close date: 28/09/2023
Schedule
End Date: 27 Oct 2023, Friday
2 days, 9:00 am – 6:00 pm
Location: SIT@NYP Campus, 172A Ang Mo Kio Avenue 8, 567739Pricing
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