July 2017
Beginner to intermediate
442 pages
10h 8m
English
Content preview from Statistics for Machine Learning
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Parallelism of Statistics and Machine Learning
At first glance, machine learning seems to be distant from statistics. However, if we take a deeper look into them, we can draw parallels between both. In this chapter, we will deep dive into the details. Comparisons have been made between linear regression and lasso/ridge regression in order to provide a simple comparison between statistical modeling and machine learning. These are basic models in both worlds and are good to start with.
In this chapter, we will cover the following:
- Understanding of statistical parameters and diagnostics
- Compensating factors in machine learning models to equate statistical diagnostics
- Ridge and lasso regression
- Comparison of adjusted R-square with accuracy
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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.