C3DIS 2019 - Introduction to Machine Learning: Glossary

Key Points

Introduction	ML algorithms learn from data instead of being human-programmed A large amount of quality data is essential for ML
Machine Learning Overview	There are many elements to a ML project, the training and algorithms are a very small part of that.
Machine Learning Metrics for Performance	Lot’s of different metrics, which one you use ultimately depends on the application Variance / bias trade off
Machine Learning Metrics for Performance	Lot’s of different metrics, which one you use ultimately depends on the application Variance / bias trade off
Machine Learning Model Selection and Validation	Traditional statistical methods for validation are still extremely useful. Most of the time your data is much more important that the model itself.

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