Introduction to Artificial Intelligence

Programme Outline

Participants will do a simple project based on the common Neural network model with Weka.

Learning Objectives
  • Understand what is AI
  • Understand Machine Learning
  • Understand Deep Learning
  • Data Analytics
Part 1 – The intuition of AI
  • In this workshop, we explore the derivative of what empower some of the most common AI solutions. Participants will have a hands-on basic artificial neural network with Weka as part of their classification task.
Part 2 – Introduction to Text Mining Works
  • Participants will be able to appreciate some ideas of NLP implementations, in particular text mining where it could be prevalent in either speech or cybersecurity at a high-level context.
Part 3 – Machine Learning, Deep Learning, and Artificial Intelligence
  • Handwriting is a ubiquitous form of art which is unique to an individual. At a high-level, participants will appreciate the mechanism behind some of the more intriguing form of art and how one capitalises on handwriting to predict what digit he is writing.
Part 4 – Image Recognition with Artificial Intelligence
  • Image and facial recognition are some of the more advanced and complicated AI technology that man has ever explored. At a high-level, we will explore the mechanism image processing works and the participants will also be shown with a realia of a simple IoT device that can empower a common facial recognition.
Assessment
  • Participants will do a simple project based on the common Neural network model with Weka.
What’s next

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