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Probabilities play a big part in AI and machine learning. After all, AI systems are Probabilistic systems that must learn what to do. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Bayes’ Theorem, Bayesian Classifier, Naive Bayes, and 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
- Glossary Series: Artificial Intelligence
- AI Glossary Series – Machine Learning, Algorithm, Model
- Glossary Series: Prediction, Inference, and Generalization
- Glossary Series: Machine Learning Approaches: Supervised Learning, Unsupervised Learning, Reinforcement Learning
- Glossary Series: Probabilistic & Deterministic
- Glossary Series: Pattern Recognition
- Glossary Series: Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary
