Book Image

Automated Machine Learning Pipeline with Mesos

By : Mr. Karl Whitford
Book Image

Automated Machine Learning Pipeline with Mesos

By: Mr. Karl Whitford

Overview of this book

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.
Table of Contents (9 chapters)
Chapter 8
Beyond the Servlet: Webpack Bundles
Content Locked
Section 2
Markov Queues and Stochastic Context Free Grammar
In this video, we introduce the concept of a JobGraph as Markovian Queue which will come in handy when parsing eventful data through a cipher. - Learn stochastic context free grammar - Address latency issues between bartering tasks and competing nodes