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Data Science and Artificial Intelligence: Machine Learning and Real Cases

Title Data Science and Artificial Intelligence: Machine Learning and Real Cases
Course code CM546-10-2022-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;
Please check the self-assessment.
Class size 12
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 18:45-21:45, Oct 6, 2022 (Thursday), and Nov 29, 2022 (Tuesday), and from Oct 11, 2022 to Nov 24, 2022 every Tuesday, 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: 2204140103-0
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.
Enroll Online
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