Objectives
Machine learning (ML) an emerging field where software or programs discover how they behave (eg. perform a task, understand a sentence, recognise a face) without being explicitly programmed. It uses techniques to deal with inputs/data in the most intelligent way – by developing algorithms and mathematical models – to derive inferences and actionable insights.This course provides participants with a broad overview of machine learning including how to classify data, perform grouping of similar data and predict future data point based on historical data set.
Who Should Attend
Python developers from any field or domain who are interested in learning the basics of machine learning
Entry Requirements
Participants must have a working knowledge of Python including basic Python syntax (assignments, conditinals, loops) , data structures like list and map/dictionary and functions.
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Please note that the mode of delivery is subject to change in light of the COVID-19 situation.
Courses marked ‘online’ may have compulsory face-to-face sessions such as laboratory or hands-on components and details should be sought from the schools or departments before learners register for them.
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Last updated: 12 April 2024
