April 2012
Intermediate to advanced
384 pages
11h 19m
English
Content preview from Machine Learning in Action
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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.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.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.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.
Chapter 5. Logistic regression
This chapter covers
- The sigmoid function and the logistic regression classifier
- Our first look at optimization
- The gradient descent optimization algorithm
- Dealing with missing values in the our data
This is an exciting chapter because this is the first chapter where we encounter optimization algorithms. If you think about it, many of the things we do in life are optimization problems. Some examples of optimization from daily life are these: How do we get from point A to point B in the least amount of time? How do we make the most money doing the least amount of work? How do we design an engine to produce the most horsepower while using the least amount of fuel? The things we can do with ...
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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.