October 2017
Beginner to intermediate
270 pages
7h
English
Content preview from Machine Learning for Developers
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Understanding the problem
When solving machine learning problems, it's important to take time to analyze both the data and the possible amount of work beforehand. This preliminary step is flexible and less formal than all the subsequent ones on this list.
From the definition of machine learning, we know that our final goal is to make the computer learn or generalize a certain behavior or model from a sample set of data. So, the first thing we should do is understand the new capabilities we want to learn.
In the enterprise field, this is the time to have more practical discussions and brainstorms. The main questions we could ask ourselves during this phase could be as follows:
- What is the real problem we are trying to solve?
- What is the current ...
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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.