AI Today Podcast

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.

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.

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.

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.

The hosts discuss Heuristic & Brute-force Search in AI, emphasizing the importance of understanding these concepts. They explore how these terms are used in decision-making processes and problem-solving methods. The chapter highlights the significance of advanced techniques in machine learning beyond basic heuristics.

Explore the concepts of goal-driven systems and RoboAdvisor in AI, focusing on optimal solutions through reinforcement learning. Learn how these terms play a crucial role in AI applications, such as game playing, business operations, and financial planning. Discover how AI algorithms like AlphaGo and AlphaZero utilize problem-solving and reinforcement learning for optimal solutions, and how RoboAdvisors are used in the finance sector for automated financial planning assistance.

In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the terms Probabilistic & Deterministic 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 GlossaryAI Glossary Series – Artificial IntelligenceContinue reading AI Today Podcast: AI Glossary Series – Probabilistic & Deterministic at Cognilytica.

The objective of the hyperpersonalization pattern of AI is to treat each individual as an individual. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define and discuss at a high level the terms Personalization, Recommendation, and Hyperpersonalization, how they are related, and why it’s important to have a light level understanding of these terms, and how machine learning makes hyperpersonalization possible.Continue reading AI Today Podcast: AI Glossary Series: Personalization, Recommendation, and Hyperpersonalization at Cognilytica.

The objective of the recognition pattern of AI is to have machines identify and understand the real world and unstructured data. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define and discuss at a high level the terms Recognition Systems, Computer Vision, and ImageNet, how they are related, and why it’s important to have a light level understanding of these terms.Continue reading AI Today Podcast: AI Glossary Series: Recognition Systems, Computer Vision, ImageNet at Cognilytica.

Named after researcher and AI pioneer Alan Turing, the Turing Test aims to test whether a machine or system is “intelligent” by putting the system to a test. In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer define the Turing Test at a high level and discuss if it’s now possibly an overly simplistic assessment of whether or not machines have achieved necessary levels of intelligence.Continue reading AI Today Podcast: AI Glossary Series: Turing Test at Cognilytica.