KEY CONCEPTS COVERED

Introduction to Artificial Intelligence

• What is Artificial Intelligence
• History and State-of-Art Applications
• Machine Learning Tools & Applications
• Principles of problem-solving and the Search for a solution
• Introduction to Anaconda & Jupyter (2020), Jupyter Notebook
• Learn Python in 5 minutes

Machine Learning Fundamentals

• Supervised, Unsupervised, and Reinforcement Learning
• Prediction & Classification
• Components of Performance Evaluation
• Linear Regression Model

Introduction to Decision Trees

• Decision Tree’s Learning Algorithms
• Optimal Attribute & Entropy
• Calculating Information Gain
• Ensembles of Decision
• Overfitting & Error Performance

Support Vector Machine

• Linear Separator
• Maximum Marginal Classifier
• Linear SVMs Mathematically
• Soft Margin Classifier
• Non-Linear SVMs

Neural Networks & Deep Learning

• Learning Inspired by the Brain
• Notation
• Network structures
• Perceptrons
• Multilayer Feed-Forward Networks
• Back-propagation learning
• Deep Fakes Videos via GANs
• Convolution
• Deep Learning

• Applications of Machine Learning (ML) Algorithms
• Understanding ML Libraries - Scikit Learn/Keras

• Introduction & Applications of Deep Learning (DL) Algorithms - NLP & CV

• Machine Learning with Coloured Images
• TensorFlow Playground, Auto Draw
• Project Progress Update

• Building a Chatbot
• Project Progress Update

• Handwritten Digit Classification with DL and CNN
• Image Classification (BatMan V/s SuperMan)
• Project Progress Update

• OCR (Optical Code Recognition)
• Sentiment Analysis on IMDb Movie Reviews
• Project Progress Update

• Applications of Ethical AI
• Project Progress Update

Project Preparation and Consultation 

Mock Presentations 

Project Evaluation by NUS & HPE

INDUSTRY PROJECT