0:00:00 - 0:00:21 So I'm just between, uh, sets and a workout. I had a quick thought I wanted to share. Unfortunately, I didn't get this on video, but we're in a, uh, strange time of year, the shoulder season. Sorry, I'm out of breath where, um, it's cold enough that a fire is warranted. But, uh, they have to be small 0:00:20 - 0:00:41 fires because it's, it's, uh, it would overheat the house if you made a large one. Well, there's this, uh, this threshold, this critical mass when you're building a fire where in a wood stove it works a lot better to load the whole thing. It's tricky to get one going, uh, with just say, two logs and 0:00:41 - 0:01:02 we're about at a two log time of year. So I, I got this thing going, whatever, but it died out really quickly. It came over and I noticed that the logs were separated and they were smoldering. There was no visible fire. So literally all I did was I opened it up, push them together, shut the door and 0:01:02 - 0:01:26 immediately the whole thing burst into flames and this is what it looks like. Now, see you cranking. Yeah, you can't really make out, there's two logs in there though. Let me open this, see, calm down a little and open it. So the air is already there. The all the ingredients were already there but had 0:01:25 - 0:01:53 to bring them together to kick it off uh in machine learning. Um There are variables and those are the basis of the models that you build. And um frequently it's a case that combinations of those provide more information than any of them would on their own. So, um the, the whole is greater than the sum 0:01:53 - 0:02:15 of the parts. That's the idea and that's called mutual information because there's information between them that's not contained in them singly. Uh The Lord said, where two or more gathered in my name, I will be there in their midst and the world is like a whole bunch of smoldering logs right now. There 0:02:15 - 0:02:43 are a lot of flammable logs all over the place and this analogy fires a good thing. And as two or more of those people get closer together then they'll burst into flames and it's going to be shocking to most people to see that. But uh here it is just another witness of the way things work. So it's worth 0:00:00 - 0:00:21 So I'm just between, uh, sets and a workout. I had a quick thought I wanted to share. Unfortunately, I didn't get this on video, but we're in a, uh, strange time of year, the shoulder season. Sorry, I'm out of breath where, um, it's cold enough that a fire is warranted. But, uh, they have to be small 0:00:20 - 0:00:41 fires because it's, it's, uh, it would overheat the house if you made a large one. Well, there's this, uh, this threshold, this critical mass when you're building a fire where in a wood stove it works a lot better to load the whole thing. It's tricky to get one going, uh, with just say, two logs and 0:00:41 - 0:01:02 we're about at a two log time of year. So I, I got this thing going, whatever, but it died out really quickly and it came over and I noticed that the logs were separated and they were smoldering. There was no visible fire. So literally all I did was I opened it up, push them together, shut the door and 0:01:02 - 0:01:26 immediately the whole thing burst into flames and this is what it looks like now. So you're cranking. Yeah, you can't really make out there's two logs in there though. Let me open this, see, calm down a little and open it. So the air is already there. The all the ingredients were already there but had 0:01:25 - 0:01:53 to bring them together to kick it off uh in machine learning. Um There are variables and those are the basis of the models that you build. And um frequently it's a case that combinations of those provide more information than any of them would on their own. So, um the, the whole is greater than the sum 0:01:53 - 0:02:15 of the parts. That's the idea and that's called mutual information because there's information between them that's not contained in them singly. Uh The Lord said, where two or more gathered in my name, I will be there in their midst and the world is like a whole bunch of smoldering logs right now. There 0:02:15 - 0:02:43 are a lot of flammable logs all over the place. And this analogy, fire is a good thing. And as two or more of those people get closer together, then they'll burst into flames and it's going to be shocking to most people to see that. But uh here it is just another witness of the way things work. So that's 0:02:43 - 0:02:44 thinking about.