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PODCAST

AI Today Podcast

AI & Data Today

The top podcast for those wanting no-hype, practical, real-world insight into what enterprises, public sector agencies, thought leaders, leading technology companies, pundits, and experts are doing with AI today.

technology

All Episodes

12:42

AI Today Podcast: AI Glossary Series – Perceptron

AI Today Podcast ·

2023/04/14

The Perceptron was the first artificial neuron. The theory of the perceptron was first published in 1943 by McCulloch & Pitts, and then developed in 1958 by Rosenblatt. So yes, this was developed in the early days of AI. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Perceptron and explain how the term relates to AI and why it’s important to know about it. Continue reading AI Today Podcast: AI Glossary Series – Perceptron at Cognilytica.

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13:10

AI Today Podcast: AI Glossary Series – Bias, Weight,...

AI Today Podcast ·

2023/04/12

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Bias, Weight, Activation Function, Convergence, and ReLU 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 AI Glossary Series – Machine Learning, Algorithm, Model Glossary Series: Machine Learning Approaches: Supervised Learning, Unsupervised Learning, Reinforcement Learning Glossary

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13:47

AI Today Podcast: AI Glossary Series – (Artificial)...

AI Today Podcast ·

2023/04/07

If we can replicate neurons and how they are connected, can we replicate the behavior of our brains? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms (Artificial) Neural Networks, Node, and layer, and explain how they relate to AI and why it’s important to know about them. Continue reading AI Today Podcast: AI Glossary Series – (Artificial) Neural Networks, Node (Neuron), Layer at Cognilytica.

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10:56

AI Today Podcast: AI Glossary Series – Feature...

AI Today Podcast ·

2023/04/05

For a number of reasons, it can be important to reduce the number of variables or identified features in input training data so as to make training machine learning models faster and more accurate. But what are the techniques for doing this? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Feature Reduction, Principal Component Analysis (PCA), and t-SNE, explain how they relate to AI and why it’s important to know about them. Continue reading AI Today

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11:00

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

AI Today Podcast ·

2023/03/31

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. Continue reading AI Today Podcast: AI Glossary Series – Feature and Feature Engineering at Cognilytica.

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7:46

AI Today Podcast: AI Glossary Series – Regression and...

AI Today Podcast ·

2023/03/29

Regression is a statistical and mathematical technique to find the relationship between two or more variables. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Regression and Linear Regression 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 AI Glossary Series – Machine Learning, Algorithm, Model Glossary Series: Machine Learning

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11:35

AI Today Podcast: AI Glossary Series- Clustering,...

AI Today Podcast ·

2023/03/24

The idea of grouping similar types of data together is the main idea behind clustering. Clustering supports the goals of Unsupervised Learning which is finding patterns in data without requiring labeled datasets. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Clustering, Cluster Analysis, K-Means, and Gaussian Mixture Model, and explain how they relate to AI and why it’s important to know about them. Continue reading AI Today Podcast: AI Glossary

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8:34

AI Today Podcast: AI Glossary Series – Deep Blue

AI Today Podcast ·

2023/03/22

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define DeepBlue, including what it is and why it’s notable for AI. Show Notes: FREE Intro to CPMAI mini course CPMAI Training and Certification AI Glossary AI Glossary Series – Symbolic Systems & Expert Systems AI Glossary Series: Cognitive Technology Continue reading AI Today Podcast: AI Glossary Series – Deep Blue at Cognilytica.

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AI Today Podcast: AI Glossary Series: Symbolic...

AI Today Podcast ·

2023/03/17

Before this latest wave of AI where neural nets became the hottest algorithm of choice, an approach to machine learning that uses logic and constructs similar to the way that humans reason through problems called Symbolic Systems were actually the system of choice. Popularized in the late 1980s and early 1990s expert systems became the AI system of choice for organizations investing in cognitive technology. Continue reading AI Today Podcast: AI Glossary Series: Symbolic Systems & Expert Systems at

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9:01

AI Today Podcast: AI Glossary Series – Random Forest...

AI Today Podcast ·

2023/03/15

Sometimes for reasons such as improving performance or robustness it makes sense to create multiple decision trees and average the results to solve problems related to overfitting. Or, it makes sense to boost certain decision trees. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Random Forest and Boosted Trees, and explain how they relate to AI and why it’s important to know about them. Continue reading AI Today Podcast: AI Glossary Series – Random

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7:51

AI Today Podcast: AI Glossary Series – Ensemble Models

AI Today Podcast ·

2023/03/10

Sometimes for reasons such as improving performance or robustness it makes sense to combine the results of multiple different models trained on the same data. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term Ensemble Models, and explain how it relates to AI and why it’s important to know about them. Continue reading AI Today Podcast: AI Glossary Series – Ensemble Models at Cognilytica.

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10:34

AI Today Podcast: AI Glossary Series – Decision Trees

AI Today Podcast ·

2023/03/08

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 Cognilytica.

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8:44

AI Today Podcast: AI Glossary Series – Support Vector...

AI Today Podcast ·

2023/03/03

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 – Support Vector Machine & Kernel Method at Cognilytica.

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8:25

AI Today Podcast: AI Glossary Series: K-Nearest...

AI Today Podcast ·

2023/03/01

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 K-Nearest Neighbor and Lazy Learning, and explain how they relate to AI and why it’s important to know about them. Continue reading AI Today Podcast: AI Glossary Series: K-Nearest Neighbor and Lazy Learning at Cognilytica.

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16:30

AI Today Podcast: AI Glossary Series – Bayes’...

AI Today Podcast ·

2023/02/24

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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11:46

AI Today Podcast: AI Glossary Series – Classification...

AI Today Podcast ·

2023/02/22

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

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46:15

AI Today Podcast: How AI and Project Management Fit...

AI Today Podcast ·

2023/02/21

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

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10:48

AI Today Podcast: AI Glossary Series: Overfitting,...

AI Today Podcast ·

2023/02/17

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

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13:02

AI Today Podcast: AI Glossary Series – Dimension,...

AI Today Podcast ·

2023/02/15

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 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:

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9:12

AI Today Podcast: AI Glossary Series- Pattern...

AI Today Podcast ·

2023/02/10

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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