April 2019
Beginner to intermediate
252 pages
4h 40m
English
Content preview from Machine Learning for Data Mining
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But what is the best solution?
We ultimately need to find the best solution. The best solution will be the one that will maximize the separation between the groups while balancing the trade-off of potentially overfitting the function on new data. This new data includes a weight factor or a regularization factor that adds a penalty to the function to maximize the margin between the vectors while minimizing the error, as shown in the following diagram:
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.