Automated Machine Learning Pipeline with Mesos [Integrated Course]

4 (1 reviews total)
By Karl Whitford
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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.

Key Features

  • Launch a webserver with Go and Docker
  • Gain exposure to an automated machine learning pipeline
  • Validate your learning with assessments and quizzes

Who this course is for

This course is targeted at data science professionals looking to get started with Mesos to integrated it in their machine learning pipeline.

Publication date:
November 2017
Publisher
Packt
Duration
2 hours 30 minutes
ISBN
9781788478496

About the Author

  • Karl Whitford

    Karl Whitford has been involved in the tech industry for 10 years as a software engineer. He has a background in statistical machine learning, deep learning, and A.I. from Columbia University. He also has knowledge of computational physics/mathematics from DePaul University and UT Austin. He is a professional in the fields of game A.I, compression, machine learning, and distributed cluster computing. Karl is an open source contributor to SMACK, Pancake Stack (PipelineI/O), and Pregel-Mesos, among others. He has previous work experience with Microsoft, Coca Cola, and Unilever to name a few; he is also an indie game developer and founder of Esquirel (Black-Squirrel) Studios in San Francisco, California. He was also handpicked by UploadVR as "one to watch" and featured at Mountain View’s 2016 VR Showcase.

    Browse publications by this author

Latest Reviews

(1 reviews total)
Useful content - would like more practical examples
Automated Machine Learning Pipeline with Mesos [Integrated Course]
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