Everyone’s favorite new buzzword is ‘machine learning’ (or ‘ML’) but what exactly is ML and how is it already transforming everyday life and business? We chat with Microsoft engineers about machine learning and the significance of Windows ML, a new AI platform for developers available through the upcoming Windows 10 update. We cover how ML is changing the field of app development and how developers can get started with Windows ML. Finally, a Windows Insider gives us a tour under the hood of his app and discusses how machine learning is baked into the app’s evolution.   Episode transcription   JASON HOWARD:  Welcome to the Windows Insider Podcast.  I'm your host, Jason Howard, and you're listening to Episode 14, What's Up with Machine Learning?  In this episode we chat about ML, its future influence on app development, and the impact of Microsoft's recent Windows machine learning announcement.  Here in the studios with our first guests is Dona Sarkar   DONA SARKAR:  Hi.  I'm Dona Sarkar, Chief Ninja Cat and head of the Windows Insider Program   I'm here today in the studio with some special guests from Microsoft to talk all about everyone's favorite new buzzword, machine learning. I would love for our guests to introduce themselves.  Clint, would you like to go first? CLINT RUTKAS:  Hi.  I'm Clint Rutkas.  I am a Windows developer community champion.  So if you guys have APIs you want in the system, please talk to me. DONA SARKAR:  Exactly.  You'll see him on Twitter a lot talking about the Windows SDK.  So for all of your Windows SDK needs, tweet @ClintRutkas. And then Lucas. LUCAS BRODZINSKI:  Hi.  I'm Lucas Brodzinski.  I'm the program manager lead of the Windows AI platform team. DONA SARKAR:  That is awesome.  What does that mean? LUCAS BRODZINSKI:  Well, we're teaching the robots how to think.  You know, we've added capabilities to Windows for people to do machine learning inference on the edge.  So we're introducing the intelligent edge to Windows. DONA SARKAR:  That is really cool.  Thank you for joining us. LUCAS BRODZINSKI:  Thank you for having me. CLINT RUTKAS: I actually think it's even more than that.  Think about we're adding machine learning, the ability for every Windows device, not just desktop, device, to be able to do machine learning. So I think the big question is like, what is machine learning and why do we care? DONA SARKAR:  That's exactly the very first question I have for both of you, which is let's go all the way back, back, back.  What is machine learning and why is it different than AI? LUCAS BRODZINSKI:  Cool, totally.  So the way to think about AI and machine learning is machine learning is a subset of AI.  The whole concept of AI is you're trying to get a computer to act intelligently, kind of like a human would.  So you can get a computer to do a function like a human would and get a response from the computer as a human would.  Machine learning is a specific technique to try and do that. So for instance, if I'm having a conversation with you guys in real life, like I am right now, you know, I can read your facial expressions and I can kind of change my approach to the conversation based on the facial expressions you guys are giving me. So that's my intelligence.  And we would love to teach computers to be able to react to human interaction in that way.  One potential technique to go about doing that is emotion detection, which there are machine learning models to do. However, machine learning is this technique towards building out this larger intelligence, which is AI. CLINT RUTKAS:  So I think the question is, why would you use machine learning?  Let's say for whatever reason you want to build out a vegetable detector.  Let's say I wanted to detect a carrot versus broccoli versus cauliflower.  So what is a carrot?  So would I do it based on color?  So I have an if-statement that says, okay, well, if it's shaped kind of like a triangle, if it's orange and it's roughly this long in the photo, t