Automated Machine Learning Pipeline with Mesos
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Free ChapterLearning from Trees (Benchmarking)
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Actor Programming Model
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Mesos Containerized Deployment with Calico
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Bayesian Networks and the Mantis
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Vertex State Machines in Bulk Synchrony
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Replicated Logs and Greedy Frameworks
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Concatenating Jenkins Utilities
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Beyond the Servlet: Webpack Bundles
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Cost-Based Resource Allocator
About this
video
Mesos, with its semi-centralized infrastructure, sustains the skeleton of Silicon Valley’s Netflix (Fezo), Airbnb (Airflow), Heroku, and Apple to name a few, and has established itself as a staple in any automated machine learning pipeline and distributed heterogeneous data pruning.
In this course, we will learn the foundation of Mesos within the automated pipeline on fault-tolerant cluster semaphores. We will set up a virtual cluster running Marathon and Zookeeper and a concurrent Docker application. We will establish a master-slave infrastructure, experience real-time debugging, and learn how to automate cluster arbitration via Soliton automata. We will then see an iterative queue manager for indexed tasks dispatched concurrently inside a poset topology.
- Publication date:
- November 2017
- Publisher
- Packt
- Duration
- 0 hours 0 minutes
- ISBN
- 9781788478496
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