October 2017
Intermediate to advanced
88 pages
2h
English
Content preview from Machine Learning Logistics
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Appendix A. Additional Resources
These resources will help you plan, develop, and manage machine learning systems as well as explore the broader topic of stream-first design to build a global data fabric:
Computing Extremely Accurate Quantiles Using t-Digests, by Ted Dunning and Otmar Ertl.
“Update on the t-Digest: Finding Faults in Real Data”. Video of talk by Ted Dunning at Berlin Buzzwords, 13 June 2017.
“Using TensorFlow on a Raspberry Pi in a Chicken Coop”. Tutorial by Ian Downard, 12 July 2017.
Overview of the Rendezvous Architecture included in “Non-Flink Machine Learning on Flink”. Video of talk by Ted Dunning at Flink Forward conference, 14 April 2017.
“How Stream-1st Architecture & Emerging Technologies Provide a Competitive Edge”. Video of talk by Ellen Friedman at Big Data London conference, 4 November 2016.
“Getting Started with MapR Streams”. Technical tutorial with sample code by Tugdual Grall, March 2016.
Evaluating Machine Learning Models, free ebook by Alice Zheng (O’Reilly).
Selected O’Reilly Publications by Ted Dunning and Ellen Friedman
Data Where You Want It: Geo-Distribution of Big Data and Analytics (March 2017)
Streaming Architecture: New Designs Using Apache Kafka and MapR Streams (March 2016)
Sharing Big Data Safely: Managing Data Security (September 2015)
Real World Hadoop (January 2015)
Time Series Databases: New Ways to Store and Access Data (October 2014)
Practical Machine Learning: A New Look at Anomaly Detection (June 2014)
Practical Machine ...
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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.