AI Today Podcast

AI Today Podcast

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.

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AI Today Podcast: AI Glossary Series – Loss Function, Cost Function and Gradient Descent

AI Today Podcast: AI Glossary Series – Loss Function, Cost Function and Gradient Descent

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Loss Function, Cost Function and Gradient Descent, explain how these terms relates to AI and why it’s im...

21 Huhti 202312min

AI Today Podcast: AI Glossary Series- Hidden Layer and Deep Learning

AI Today Podcast: AI Glossary Series- Hidden Layer and Deep Learning

Deep Learning is powering this current wave of AI interest. But do you really know what Deep Learning is? In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the term...

19 Huhti 202312min

AI Today Podcast: AI Glossary Series – Perceptron

AI Today Podcast: AI Glossary Series – Perceptron

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 t...

14 Huhti 202312min

AI Today Podcast: AI Glossary Series – Bias, Weight, Activation Function, Convergence, and ReLU

AI Today Podcast: AI Glossary Series – Bias, Weight, Activation Function, Convergence, and ReLU

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 ...

12 Huhti 202313min

AI Today Podcast: AI Glossary Series – (Artificial) Neural Networks, Node (Neuron), Layer

AI Today Podcast: AI Glossary Series – (Artificial) Neural Networks, Node (Neuron), Layer

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 (Ar...

7 Huhti 202313min

AI Today Podcast: AI Glossary Series –  Feature Reduction, Principal Component Analysis (PCA), and t-SNE

AI Today Podcast: AI Glossary Series – Feature Reduction, Principal Component Analysis (PCA), and t-SNE

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. Bu...

5 Huhti 202310min

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

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

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...

31 Maalis 202311min

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

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

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...

29 Maalis 20237min