AI Today Podcast

AI & Data Today
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Feb 24, 2023 • 16min

AI Today Podcast: AI Glossary Series – Bayes’ Theorem, Bayesian Classifier, Naive Bayes

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.Continue reading AI Today Podcast: AI Glossary Series – Bayes’ Theorem, Bayesian Classifier, Naive Bayes at Cognilytica.
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Feb 22, 2023 • 12min

AI Today Podcast: AI Glossary Series – Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary

Determining which categories or “classes” data belongs to in the core aspect of classification. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary, and explain how they relate to AI and why it’s important to know about them.Continue reading AI Today Podcast: AI Glossary Series – Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision Boundary at Cognilytica.
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Feb 21, 2023 • 46min

AI Today Podcast: How AI and Project Management Fit Together: Interview with Bill Raymond, Agile in Action Podcast

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer have a discussion with Bill Raymond who is the host of the Agile In Action podcast. We discuss why project managers should pay attention to AI, how the areas of Agile and AI are intersecting, and how artificial intelligence fits within the project management space both from running AI projects to also how AI will enhance the project manager’s role.Continue reading AI Today Podcast: How AI and Project Management Fit Together: Interview with Bill Raymond, Agile in Action Podcast at Cognilytica.
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Feb 17, 2023 • 11min

AI Today Podcast: AI Glossary Series: Overfitting, Underfitting, Bias, Variance, Bias/Variance Tradeoff

When it comes to building ML models, you want to make a model simple enough so that it can handle a wide range of real-world data on the one hand, but not too simple that it overgeneralizes or underfits the available data. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Overfitting, Underfitting, Bias, Variance, and Bias/Variance Tradeoff, and explain how they relate to AI and why it’s important to know about them.Continue reading AI Today Podcast: AI Glossary Series: Overfitting, Underfitting, Bias, Variance, Bias/Variance Tradeoff at Cognilytica.
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Feb 15, 2023 • 13min

AI Today Podcast: AI Glossary Series – Dimension, Curse of Dimensionality, Dimensionality Reduction

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Dimension, Curse of Dimensionality, Dimensionality Reduction, and explain how they relate to AI and why it’s important to know about them.Show Notes:FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryGlossary Series: Artificial IntelligenceAI Glossary Series – Machine Learning, Algorithm, ModelGlossary Series: Prediction, Inference, and GeneralizationGlossary Series: Machine Learning Approaches: Supervised Learning, Unsupervised Learning, Reinforcement LearningContinue reading AI Today Podcast: AI Glossary Series – Dimension, Curse of Dimensionality, Dimensionality Reduction at Cognilytica.
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Feb 10, 2023 • 9min

AI Today Podcast: AI Glossary Series- Pattern Recognition

Pattern recognition in general is what machine learning systems do. They use an algorithm to learn patterns from data that can be then used to make predictions on new data. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Pattern Recognition and explain how they relate to AI and why it’s important to know about them.Continue reading AI Today Podcast: AI Glossary Series- Pattern Recognition at Cognilytica.
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Feb 8, 2023 • 10min

AI Today Podcast: AI Glossary – Machine Learning Approaches: Supervised Learning, Unsupervised Learning, Reinforcement Learning

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define terms related to Machine Learning Approaches including Supervised Learning, Unsupervised Learning, Reinforcement Learning and explain how they relate to AI and why it’s important to know about them.Show Notes:FREE Intro to CPMAI mini courseCPMAI Training and CertificationAI GlossaryGlossary Series: Artificial IntelligenceAI Glossary Series – Machine Learning, Algorithm, ModelGlossary Series: Probabilistic & DeterministicGlossary Series: Classification & Classifier, Binary Classifier, Multiclass Classifier, Decision BoundaryGlossary Series: Regression, Linear RegressionGlossary Series: Clustering, Cluster Analysis, K-Means, Gaussian Mixture ModelGlossary Series: Goal-Driven Systems & RoboadvisorUnderstanding the Goal-Driven Systems Pattern of AIContinue reading AI Today Podcast: AI Glossary – Machine Learning Approaches: Supervised Learning, Unsupervised Learning, Reinforcement Learning at Cognilytica.
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Feb 3, 2023 • 12min

AI Today Podcast: AI Glossary Series – Machine Learning, Algorithm, Model

Even though the term Artificial Intelligence does not have an agreed upon definition, the term machine learning does have a definition. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Machine Learning, Algorithm, Model and explain how they relate to AI and why it’s important to know about them.Continue reading AI Today Podcast: AI Glossary Series – Machine Learning, Algorithm, Model at Cognilytica.
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Feb 1, 2023 • 11min

AI Today Podcast: AI Glossary – DeepMind, AlphaGo, and AlphaZero

In this podcast, the hosts delve into key AI terms like DeepMind, AlphaGo, and AlphaZero, explaining their roles in advancing AI technology and reshaping industries. They discuss DeepMind's pursuit of strong AI, the development of AlphaGo and AlphaZero, and the shift towards reinforcement learning and deep learning in creating AI systems that surpass human abilities in strategic games.
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Jan 27, 2023 • 11min

AI Today Podcast: AI Glossary Series – Prediction, Inference, and Generalization

Hosts Kathleen Walch and Ron Schemlzer discuss the importance of understanding Prediction, Inference, and Generalization in AI. They explore how models make predictions, the significance of generalization for handling new data, and the interconnected concepts in machine learning.

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