January 2016
Beginner to intermediate
304 pages
8h 16m
English
book
Big Data Analytics with Spark: A Practitioner’s Guide to Using Spark for Large-Scale Data Processing, Machine Learning, and Graph Analytics, and High-Velocity Data Stream Processing
by Mohammed Guller
Content preview from Big Data Analytics with Spark: A Practitioner’s Guide to Using Spark for Large-Scale Data Processing, Machine Learning, and Graph Analytics, and High-Velocity Data Stream Processing
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CHAPTER 8
Machine Learning with Spark
Interest in machine learning is growing by leaps and bounds. It has gained a lot of momentum in recent years for a few reasons. The first reason is performance improvements in hardware and algorithms. Machine learning is compute-intensive. With proliferation of multi-CPU and multi-core machines and efficient algorithms, it has become feasible to do machine learning computations in reasonable time. The second reason is that machine learning software has become freely available. Many good quality open source machine learning software are available now for anyone to download. The third reason is that MOOCs (massive ...
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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.