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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