January 2018
Intermediate to advanced
470 pages
11h 9m
English
Content preview from Scala Machine Learning Projects
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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.
To get the most out of this book
This book is dedicated to developers, data analysts, and deep learning enthusiasts who do not have much background with complex numerical computations but want to know what deep learning is. A strong understanding of Scala and its functional programming concepts is recommended. Some basic understanding and high-level knowledge of Spark ML, H2O, Zeppelin, DeepLearning4j, and MXNet would act as an added advantage in order to grasp this book. Additionally, basic know-how of build tools such as Maven and SBT is assumed.
All the examples have been implemented using Scala on an Ubuntu 16.04 LTs 64-bit and Windows 10 64-bit. You will also need the following (preferably the latest versions):
- Apache Spark 2.0.0 (or ...
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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.