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Training, Testing, and Validation in Machine Learning and AI, Study notes of Machine Learning

University of Southern California (USC)Machine Learning

Machine Learning. Using data to build models and make predictions. Supervised machine learning. • Set of labeled examples to learn from: training data.

Typology: Study notes

2022/2023

Uploaded on 05/11/2023

wualter
wualter 🇺🇸

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Machine Learning - Testing and Artificial Intelligence
What is the difference between training data, test data, and validation data?
Can you train on your testing data?
What is overfitting?
What are the three steps AI undergoes to achieve its goal?
Why do we use heuristics?
Where are the results of a game stored in a game tree?

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Machine Learning - Testing and Artificial Intelligence What is the difference between training data, test data, and validation data? Can you train on your testing data? What is overfitting? What are the three steps AI undergoes to achieve its goal? Why do we use heuristics? Where are the results of a game stored in a game tree?