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Automated Machine Learning Pipeline with Mesos

You're reading from Automated Machine Learning Pipeline with Mesos Build an automated machine learning pipeline with Mesos

Product type Course

Published in Nov 2017

Publisher

ISBN-13 9781788478496

Length

Edition 1st Edition

Languages

Go

Tools

Mesos

Concepts

Machine Learning

Author (1):

Mr. Karl Whitford Vanegas

View More author details

Table of Contents (9) Chapters

1. Learning from Trees (Benchmarking) FREE CHAPTER

2. Actor Programming Model

3. Mesos Containerized Deployment with Calico

4. Bayesian Networks and the Mantis

5. Vertex State Machines in Bulk Synchrony

6. Replicated Logs and Greedy Frameworks

7. Concatenating Jenkins Utilities

8. Beyond the Servlet: Webpack Bundles

9. Cost-Based Resource Allocator

You have been reading a chapter from

Automated Machine Learning Pipeline with Mesos

Published in: Nov 2017

Publisher:

ISBN-13: 9781788478496

© 2017 Packt Publishing Limited All Rights Reserved

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Authors (1)

Mr. Karl Whitford

Mr. 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.

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