September 2016
Beginner to intermediate
326 pages
6h 47m
English
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Summary
Machine learning is the science of making machines work without programming predefined rules and learn from data. It is used to build regression, classification, clustering, anomaly detection, and recommender-based systems. It involves training or fitting a model on historical data and using the trained model to make predictions for new data.
Spark provides you with the MLlib library which is a RDD based API and ML pipelines which is a DataFrames based API to build machine learning applications. MLlib is in maintenance mode from version 2.0 and it will be deprecated and discontinued in upcoming releases. ML pipelines will be the mainstream API. Apache Mahout was a machine learning library built on top of Hadoop, which is now integrated ...
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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.Julian F.
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.