January 2019
Intermediate to advanced
294 pages
6h 43m
English
Content preview from Machine Learning Quick Reference
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Key concepts
We will cover a few key concepts before moving on to the body of the chapter:
- In the case of discrete distribution, a probability mass function is used to find out the probability, p(X= x), where X is a discrete random variable and x is a real value number.
- In the case of continuous distribution, probability density function is used to find out the probability p(X <= x). In this scenario, a probability curve is plotted and the area under the curve (integration) helps us with the probability.
- Conditional probability is to understand this, a cricket match can be the perfect example. Suppose there is a game scheduled between India and Australia and we are trying to pass on our belief of India triumphing. Do you think that the ...
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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.