In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Data Drift, Model Drift, Model Retraining, explain how these terms relate to AI and why it’s important to know about them.
Show Notes:

FREE Intro to CPMAI mini course
CPMAI Training and Certification
AI Glossary
Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer
Glossary Series: Bias, Weight, Activation Function, Convergence, ReLU
Glossary Series: Perceptron
Glossary Series: Hidden Layer, Deep Learning
Glossary Series: Loss Function, Cost Function & Gradient Descent
Glossary Series: Backpropagation, Learning Rate, Optimizer
Glossary Series: Feed-Forward Neural Network
AI Glossary Series – Machine Learning, Algorithm, Model
AI Glossary Series – Model Tuning and Hyperparameter
AI Glossary Series: Overfitting, Underfitting, Bias, Variance, Bias/Variance Tradeoff
AI Glossary Series: Operationalization

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