In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Batch Prediction, Microservice, Real-time Prediction, Stream Learning, Cold-Path Analytics, and Hot-Path Analytics, 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: Training Data, Epoch, Batch, Learning Curve
  
• 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
  
• Glossary Series: OpenAI, GPT, DALL-E, Stable Diffusion
  
• Glossary Series: Natural Language Processing (NLP), NLU, NLG, Speech-to-Text, TTS, Speech Recognition
  
• 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
  
• Interview with Alex Measure, BLS
  

This episode is sponsored by Algolia:

Algolia Powers Discovery.

Continue reading AI Today Podcast: AI Glossary Series – Batch Prediction, Microservice, Real-time Prediction, Stream Learning, Cold-Path Analytics, Hot-Path Analytics at Cognilytica.