October 2018
Beginner to intermediate
134 pages
3h 35m
English
Content preview from AI and Analytics in Production
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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.
Appendix A. Appendix
Additional Resources
These resources will help you to build production artificial intelligence and analytics systems:
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“Big News for Big Data in Kubernetes.” Video of talk by Ted Dunning at Berlin Buzzwords, 12 June, 2018; http://bit.ly/2LWAsEF
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“What Matters for Data-Intensive Applications in Production.” Video of talk by Ellen Friedman at Frankfurt Convergence June 2018; https://youtu.be/Cr39GFNMFm8
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“How to Manage a DataOps Team.” Article by Ellen Friedman in RTInsights, June 2018; http://bit.ly/2vHhlDK
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“Getting Started with MapR Streams.” Blog by Tugdual Grall; http://bit.ly/2OLLVVw
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Cluster validation scripts http://bit.ly/2KCBznw
Selected O’Reilly Publications by Ted Dunning and Ellen Friedman
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Machine Learning Logistics: Model Management in the Real World (September 2017)
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Data Where You Want It: Geo-Distribution of Big Data and Analytics (March 2017)
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Streaming Architecture: New Designs Using Apache Kafka and MapR Streams (March 2016)
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Sharing Big Data Safely: Managing Data Security (September 2015)
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Real-World Hadoop (January 2015)
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Time Series Databases: New Ways to Store and Access Data (October 2014)
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Practical Machine Learning: A New Look at Anomaly Detection (June 2014)
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Practical Machine Learning: Innovations in Recommendation (January 2014)
O’Reilly Publication by Ellen Friedman and Kostas Tzoumas
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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.