August 2015
Intermediate to advanced
216 pages
4h 50m
English
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Chapter 4. Making Decisions with the Help of Science
In this chapter, we will cover those algorithms that assist in drawing educated conclusions from a few statements about various optimization or machine learning problems that we have provided. We will elaborate on the following recipes:
- Designing a live recommendation engine
- Resolving cost and profit optimization problems
- Finding an optimal path in a graph
- Summarizing text by extracting the most representative sentences
Introduction
We will address four types of problems that involve different kinds of decision making.
- Designing a live recommendation engine: Recommendation engines determine which items some users would most likely want to buy or visit a particular website for, given that we have some ...
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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.