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.
Pachyderm jargon
Think about versioning data in Pachyderm kind of like versioning code in Git. The primitives are similar:
- Repositories: These are versioned collections of data, similar to having versioned collections of code in Git repositories
- Commits: Data is versioned in Pachyderm by making commits of that data into data repositories
- Branches: These lightweight points to certain commits or sets of commits (for example, master points to the latest HEAD commit)
- Files: Data is versioned at the file level in Pachyderm, and Pachyderm automatically employs strategies, such as de-duplication, to keep your versioned data space efficient
Even though versioning data with Pachyderm feels similar to versioning code with Git, there are some major ...
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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.