Apr 24 – 28, 2023
America/Chicago timezone
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Introduction to Machine Learning

Apr 26, 2023, 9:20 AM
Ramsey Auditorium (Wilson Hall) (Fermilab)

Ramsey Auditorium (Wilson Hall)


20-minute talk AI/ML Plenary Session


Gopika Bhardwaj (Fermilab)


Machine Learning is a field of study that uses advanced algorithms and mathematical models to enable computers or machines to learn from data and make predictions or decisions without being explicitly programmed. In ML, data is used as a basis for training algorithms or models, which then analyze the data and identify patterns or relationships within it. These patterns are used to make predictions or decisions when presented with new, unseen data.

For example, imagine you have a dataset of temperature measurements over time, and you want to predict the temperature for a future date. You can use ML algorithms to analyze the historical data, identify patterns in temperature changes, and create a model that can predict future temperatures based on those patterns.

Machine Learning is used in various applications, such as image and speech recognition, autonomous vehicles, predictive analytics, and many more.

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