Nathan Werst
👤 PersonAppearances Over Time
Podcast Appearances
What really blew my mind was actually like the first iteration of the the neural network that we built for Shoptimized, where we were looking at all this historical data and we were just doing, it was just a test, right? We were just doing a breakdown of, you know, the like training and testing data.
What really blew my mind was actually like the first iteration of the the neural network that we built for Shoptimized, where we were looking at all this historical data and we were just doing, it was just a test, right? We were just doing a breakdown of, you know, the like training and testing data.
What really blew my mind was actually like the first iteration of the the neural network that we built for Shoptimized, where we were looking at all this historical data and we were just doing, it was just a test, right? We were just doing a breakdown of, you know, the like training and testing data.
And when we got to the point where we were working with the testing data, we could predict, I think it was 92.3% accuracy, whether or not a product will be purchased in a given time period. So we had our confusion matrix, our false positives, false negatives, true positives, true negatives. And you watch the... It's really cool. You can see it in your terminal on your screen.
And when we got to the point where we were working with the testing data, we could predict, I think it was 92.3% accuracy, whether or not a product will be purchased in a given time period. So we had our confusion matrix, our false positives, false negatives, true positives, true negatives. And you watch the... It's really cool. You can see it in your terminal on your screen.
And when we got to the point where we were working with the testing data, we could predict, I think it was 92.3% accuracy, whether or not a product will be purchased in a given time period. So we had our confusion matrix, our false positives, false negatives, true positives, true negatives. And you watch the... It's really cool. You can see it in your terminal on your screen.
You can see it go through with the testing and the count of all these things go up and down. And you start to see the accuracy go up and up and up over time. And you go... oh my God, like we're, we're actually doing this, you know? And so you get to the end of that test and it says, you know, 92.3% accuracy, you've predicted whether or not a product is going to get purchased in this time period.
You can see it go through with the testing and the count of all these things go up and down. And you start to see the accuracy go up and up and up over time. And you go... oh my God, like we're, we're actually doing this, you know? And so you get to the end of that test and it says, you know, 92.3% accuracy, you've predicted whether or not a product is going to get purchased in this time period.
You can see it go through with the testing and the count of all these things go up and down. And you start to see the accuracy go up and up and up over time. And you go... oh my God, like we're, we're actually doing this, you know? And so you get to the end of that test and it says, you know, 92.3% accuracy, you've predicted whether or not a product is going to get purchased in this time period.
And that was just the most mind blowing thing to me. Cause I can't imagine being able to do that in my life at all. Like if you gave me, you know, I like, I couldn't predict like the weather tomorrow, you know, like to predict whether some random product is going to get purchased based on marketing is just absolutely insane to me.
And that was just the most mind blowing thing to me. Cause I can't imagine being able to do that in my life at all. Like if you gave me, you know, I like, I couldn't predict like the weather tomorrow, you know, like to predict whether some random product is going to get purchased based on marketing is just absolutely insane to me.
And that was just the most mind blowing thing to me. Cause I can't imagine being able to do that in my life at all. Like if you gave me, you know, I like, I couldn't predict like the weather tomorrow, you know, like to predict whether some random product is going to get purchased based on marketing is just absolutely insane to me.
That is. And I could definitely hear the data scientist in you. Because I, too, am a data scientist. And I'm in school at George Washington, learning about random forests and neural networks, et cetera. So it's really exciting. We're geeking out over here. So that's amazing. Congratulations on that. Thank you.
That is. And I could definitely hear the data scientist in you. Because I, too, am a data scientist. And I'm in school at George Washington, learning about random forests and neural networks, et cetera. So it's really exciting. We're geeking out over here. So that's amazing. Congratulations on that. Thank you.
That is. And I could definitely hear the data scientist in you. Because I, too, am a data scientist. And I'm in school at George Washington, learning about random forests and neural networks, et cetera. So it's really exciting. We're geeking out over here. So that's amazing. Congratulations on that. Thank you.
Yeah, I appreciate it.
Yeah, I appreciate it.
Yeah, I appreciate it.
That is amazing. So with AI, there's always this topic around ethics. Because you're dealing with powerful, powerful, powerful tools and all this data. What are the ethical lines that you're watching and how do you, you know, make sure you don't cross that boundary and at the same time, keep the human in the loop?
That is amazing. So with AI, there's always this topic around ethics. Because you're dealing with powerful, powerful, powerful tools and all this data. What are the ethical lines that you're watching and how do you, you know, make sure you don't cross that boundary and at the same time, keep the human in the loop?