程序代写 MACHINE LEARNING FOR PREDICTIVE DATA ANALYTICS – cscodehelp代写

MACHINE LEARNING FOR PREDICTIVE DATA ANALYTICS
Dr.
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Schedule
Classes schedule
■ Lectures: Mondays 4-6pm
■ Labs: Tuesdays 11am-1pm
Assignments
■ 30% of the module mark
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Course textbook
Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies.
By John D. Kelleher, Namee and Aoife D’Arcy
https://mitpress.mit.edu/books/fu ndamentals-machine-learning- predictive-data-analytics
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Topics
■ What is Machine Learning and Data Analytics
■ Data Exploration
■ Machine learning models
– Information-based learning
– Similarity-based learning
– Probability-based learning
– Error-based learning
■ Model evaluation
■ Ethical questions and ML
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Housekeeping…
■ All notes will be available on Brightspace
■ Lectures/labs will be on campus
■ Emails will be sent through the class list on Brightspace –
– if one of your colleagues is not receiving the class emails they’ll need to enrol in BS.
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