AI Today Podcast: AI Glossary Series – Feature and Feature Engineering

For time-consuming parts of the machine learning workflow people often look for tricks and techniques to help speed up the process. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms feature and feature engineering, explain how they relate to AI and why it's important to know about them.

Show Notes:

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AI Glossary

AI Glossary Series - Machine Learning, Algorithm, Model

Glossary Series: Machine Learning Approaches: Supervised Learning, Unsupervised Learning, Reinforcement Learning

Glossary Series: Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary

Glossary Series: Clustering, Cluster Analysis, K-Means, Gaussian Mixture Model

Glossary Series: Dimension, Curse of Dimensionality, Dimensionality Reduction

Glossary Series: (Artificial) Neural Networks, Node (Neuron), Layer