July 2018
Intermediate to advanced
334 pages
8h 20m
English
Content preview from Modern Scala Projects
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LR as opposed to linear regression
Before choosing between logistic and linear regression methods, here are a few pointers that reiterate or restate what we talked about in this chapter and Chapter 1, Predict the Class of a Flower from the Iris Dataset:
- A data scientist working on their experimental data unit is seeking to build a model. Naturally, the follow-up question might be why are they interested in building an (ML) model?
- One answer to the previous question might be that the model helps discover patterns or the underlying relationship between the predictor (explanatory or independent) variables and their response counterparts.
Speaking of response variables, response variables in a breast cancer dataset are categorical, as opposed ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.