There are many algorithms that can be used for classification and it’s important to at least know them at a high level. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Support Vector Machine & Kernel Method, and explain how they relate to AI and why it’s important to know about them.
Continue reading AI Today Podcast: AI Glossary Series – Decision Trees at AI & Data Today.
AI Today Podcast: AI Glossary Series – Bias, Weight, Activation Function, Convergence, and ReLU
AI Today Podcast: AI Glossary Series – (Artificial) Neural Networks, Node (Neuron), Layer
AI Today Podcast: AI Glossary Series – Feature Reduction, Principal Component Analysis (PCA), and t-SNE
AI Today Podcast: AI Glossary Series – Feature and Feature Engineering
AI Today Podcast: AI Glossary Series – Regression and Linear Regression
AI Today Podcast: AI Glossary Series- Clustering, Cluster Analysis, K-Means, Gaussian Mixture Model
AI Today Podcast: AI Glossary Series – Deep Blue
AI Today Podcast: AI Glossary Series: Symbolic Systems & Expert Systems
AI Today Podcast: AI Glossary Series – Random Forest and Boosted Trees
AI Today Podcast: AI Glossary Series – Ensemble Models
AI Today Podcast: AI Glossary Series – Support Vector Machine & Kernel Method
AI Today Podcast: AI Glossary Series: K-Nearest Neighbor and Lazy Learning
AI Today Podcast: AI Glossary Series – Bayes’ Theorem, Bayesian Classifier, Naive Bayes
AI Today Podcast: AI Glossary Series – Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary
AI Today Podcast: How AI and Project Management Fit Together: Interview with Bill Raymond, Agile in Action Podcast
AI Today Podcast: AI Glossary Series: Overfitting, Underfitting, Bias, Variance, Bias/Variance Tradeoff
AI Today Podcast: AI Glossary Series – Dimension, Curse of Dimensionality, Dimensionality Reduction
AI Today Podcast: AI Glossary Series- Pattern Recognition
AI Today Podcast: AI Glossary – Machine Learning Approaches: Supervised Learning, Unsupervised Learning, Reinforcement Learning
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