Machine Learning Fundamentals is a course which expected to provide you an overview and the background knowledge of popular machine learning methods. Started from the simplest linear classifier, Perceptron, we'll introduce how a classifier learning from large volumes of data via different strategies and obtaining the ability to predict the properties from the data. The course gives introductions, concept, and basic mathematical theory for different purposes of learning. For example, using Convolutional Neural Network (CNN) for visual information extraction, Recurrent Neural Network (RNN) for handling context-dependent information, Generative Adversarial Network (GAN) for synthesizing structured and realistic information, or using the Reinforcement Learning (RL) to continuously optimize the learning task by reward and penalty mechanism.
Notice that we do NOT cover too much about:
The course materials only covers:
Most of course materials are the same, except that:
Thank you for your participation :)
Course Material: [PowerPoint slides] [PDF] - Last Update: 2019/4/9 15:55
Sample code: [demo_01]
Homework: [Link of Homework 1] - Deadline: 2019/4/17 (Soft deadline, please notify me for late submission)
Course Material: [PowerPoint slides] [PDF] - Last Update: 2019/4/17 11:40
Sample code: [demo_02]
Course Material: [PowerPoint slides] [PDF] - Last Update: 2019/4/24 13:50
Sample code: [demo_03]
Homework: [Link of Homework 2 - 120%] - Deadline: 2019/5/8 (Soft deadline, please notify me for late submission)
Homework: [Link of Homework 3 - 80%] - Deadline: 2019/5/12 (Soft deadline, please notify me for late submission)
Course Material: [PowerPoint slides] [PDF]- Last Update: 2019/5/8 10:30
Sample code: [demo_04]
Homework: [Link of Homework 4] - Deadline: 2019/5/29 (Soft deadline, please notify me for late submission)
Course Material: [PowerPoint slides] [PDF]
Sample code: [demo_05]
Homework: [Link of Homework 5] - Deadline: 2019/06/10 (Mon.) 11:59:59 (HARD DEADLINE!)
Course Material: [PowerPoint slides] [PDF]
NOTICE: Reinforcement Learning is temporary removed due to schedule concerns.
Course Material: [PowerPoint slides] [PDF] - Last Update: 2019/5/29 11:02
Sample code: [demo_07]
Course Material: [PowerPoint slides] [PDF]
Jessee Kung
Staff Developer at Trend Micro Inc.
jessee780522 {at} gmail.com