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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:
- FREE Intro to CPMAI mini course
- CPMAI Training and Certification
- 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