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003 AI vs machine learning

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Manage episode 495956990 series 3678442
Content provided by Stephen Auger. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stephen Auger or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In the last episode we called AI the "toolbox." Now, we're looking at the most powerful tool inside: Machine Learning (ML).

So, what’s the real difference? Think of it this way: AI is the destination, but Machine Learning is the engine getting us there.

In this episode, we break down the simple but powerful "Train, Detect, Predict" framework. This is the key to understanding how these tools actually work and, more importantly, where they can fail.

Master this, and you'll know exactly what critical questions to ask the next time you encounter a new "AI" solution in your practice.

🎧 Listen to Part 2: "AI vs. Machine Learning" now and feel empowered, not confused.

Music generated by Mubert https://mubert.com/render

#AIvsML #MachineLearning #MLinHealthcare #DataScience #MedEd #HealthTech #AIinHealthcare #DigitalTransformation #ClinicalAI #Podcast

  continue reading

10 episodes

Artwork
iconShare
 
Manage episode 495956990 series 3678442
Content provided by Stephen Auger. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Stephen Auger or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In the last episode we called AI the "toolbox." Now, we're looking at the most powerful tool inside: Machine Learning (ML).

So, what’s the real difference? Think of it this way: AI is the destination, but Machine Learning is the engine getting us there.

In this episode, we break down the simple but powerful "Train, Detect, Predict" framework. This is the key to understanding how these tools actually work and, more importantly, where they can fail.

Master this, and you'll know exactly what critical questions to ask the next time you encounter a new "AI" solution in your practice.

🎧 Listen to Part 2: "AI vs. Machine Learning" now and feel empowered, not confused.

Music generated by Mubert https://mubert.com/render

#AIvsML #MachineLearning #MLinHealthcare #DataScience #MedEd #HealthTech #AIinHealthcare #DigitalTransformation #ClinicalAI #Podcast

  continue reading

10 episodes

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