Machine Learning and Deep Learning with Real Case Examples

Title	Machine Learning and Deep Learning with Real Case Examples
Course code	CM546-11-2020-C
Objective	Machine learning is a branch of Artificial Intelligence. In recent years, the concept of big data is highly sought after. The essence is to extract valuable information from massive data through various analysis techniques, provide data basis for various kinds of decision-making, Have data to predict the future. The course introduces the fundamentals and principles of machine learning, the associated algorithms and core technologies that enable students to use algorithms to analyze data.
Content	Introduction Linear Regression Linear Algebra Review Linear Regression with Multiple Variables Logistic Regression Regularization Neural Network Representation Neural Network Learning Advice for Applying Machine Learning Machine Learning System Design Support Vector Machine (SVM) Clustering Dimensionality Reduction Anomaly Detection Recommender Systems Large Scale Machine Learning Application Example Brief Introduction to Deep Learning Quiz
Assessment	In-class performance, assignments and test
Target audience	IT Technician Software Developer / Designer Any one who are interested in machine learning technologies
Prerequisite	Know one of any programming language (ie know what is software programming) High school math and statistical knowledge Can read English materials Students shall bring theire own laptop for class.
Class size	12 Full
Instructor	CPTTM Appointed Instructor(s)
Handout	All training material provided by CPTTM
Instruction language	Cantonese (supplemented with English)
Handout language	English
Duration	48 hours in 16 sessions
Schedule	18:30-21:30, from Nov 3, 2020 to Jan 7, 2021 every Tuesday, Thursday, excluding Dec 8, 2020(Tuesday), Dec 22, 2020(Tuesday), Dec 24, 2020(Thursday), Dec 31, 2020(Thursday).
Fee	MOP5,760
Venue	Cyber-Lab (Rua Comandante Mata Oliveira, Ed. Associacao Industrial, 3-andar Macau)
Certificate	Certificate of Completion/Merit issued by CPTTM (with at least 80% attendance and passed the assessment).
PDAC code	Approved Course under the SAR Government "Continuing Education Development Program", Code: 2009230278-0
Remark	Course will use Octave as tools, student shall be able to install the tools by self. Know how to install numpy, keras, tensorflow and other modules using python are recommended.