September 2017
Beginner to intermediate
304 pages
7h 2m
English
Content preview from Machine Learning With Go
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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.
JSON
In a world in which the majority of data is accessed via the web, and most engineering organizations implement some number of microservices, we are going to encounter data in JSON format fairly frequently. We may only need to deal with it when pulling some random data from an API, or it might actually be the primary data format that drives our analytics and machine learning workflows.
Typically, JSON is used when ease of use is the primary goal of data interchange. Since JSON is human readable, it is easy to debug if something breaks. Remember that we want to maintain the integrity of our data handling as we process data with Go, and part of that process is ensuring that, when possible, our data is interpretable and readable. JSON turns ...
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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.