MACHINE LEARNING & TEXT ANALYTICS APPLICATIONS (Part of SCTP Certificate in Data Analytics with AI) (Classroom Facilitated Learning)
About This Course
Machine Learning, or the ability of computer models to learn from data, is one of the most important subfields of artificial intelligence today with applications across different industries. Through this unit, learners will gain knowledge of the principles, potential and limitations underlying this technology in the end-to-end machine learning process. Learners will develop competencies in text analytics methods to analyse large amount of text data.
What You'll Learn
> Apply popular machine learning models to address business needs in reference to the learning algorithms used, their strengths and limitations.
> Perform text mining on a large amount of human language data using linguistic and statistical techniques.
> Evaluate the most appropriate machine learning model using performance metrics.
This course is part of SCTP Data Analytics with AI
(1) The list of topics covered in this course:
> Machine Learning
> Artificial Intelligence
> Text Mining
> Model Evaluation
(2) Instructional Methods:
Instructor-led Classroom Learning
(3) Duration of Course:
24 hours
Entry Requirements
Applicants for the course should possess a diploma/degree from a local polytechnic/university or is a ITE graduate with minimum of 2 years working experience, preferably in a related field. Holders of other equivalent academic qualification from foreign institutions will be considered on a case-by-case basis.
Applicants who do not meet the entry requirements may be considered for admission to the course based on evidence of at least 5 years of relevant working experience or supporting evidence of competency readiness. Suitable applicants who are shortlisted may have to go through an interview and/or a proficiency test.