Machine Learning I: An Introduction for Absolute Beginners
About This Course
By the end of the course, the participants will gain practical knowledge and skills on:
Getting to Know Machine Learning
• What is Machine Learning?
• Why does Machine Learning Matter?
• Popular Applications of Machine Learning
Types of Machine Learning
• Supervised Learning
• Unsupervised Learning
• Reinforced Learning
• Deep Learning
Machine Learning in Action
• Demonstration of Popular Machine Learning Applications
• Demonstration using Python to Develop Machine Learning Applications
Hands-on with Machine Learning
• Coding Machine Learning Applications using Jupyter Notebooks in Colab
• Drag and Drop "Programming" of a Machine Learning Prototype in the Python Programming Language.
What You'll Learn
From shopper recommender systems to self-driving cars, ML has enabled intelligent solutions that go beyond the capabilities of traditional technological implementations.
By the end of the course, participants will have a solid understanding of the fundamental principles of ML, as well as the ability to differentiate between common types of ML, such as supervised and unsupervised learning. The participants will also learn how ML is utilised in various applications, including face detection and algorithmic trading.
Additionally, the course will provide the participants with hands-on experience using an online ML learning environment to solve some interesting problems.
To aid companies in transforming their capabilities through their human capital, and support Singapore’s drive towards becoming a Smart Nation, this course is mapped to the Singapore Economic Development Board’s Singapore Smart Industry Readiness Index:
Dimension 10 - Shop Floor Intelligence
Dimension 11 - Enterprise Intelligence
Dimension 12 - Facility intelligence.
Entry Requirements
Diploma holders. Knowledge of programming (Python) is not necessary but would be beneficial.