Machine Learning for Cyber Security - Session 11

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Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
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Published on ● Video Link: https://www.youtube.com/watch?v=nlr_b29tDzQ


Duration: 35:33
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More on the data
Proper validation and test sets
Data structure
Distributions, sampling, splits
Training section
Model parameters
Metrics, loss
Testing: finding anomalies
Experimentation options:
Hyperparameters
Alternative modelling
In production:
Dealing with data drift
Avoid agile methods



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