Karslioglu Reproducible Data Science with Pachyderm

Learn how to build version-controlled, end-to-end data pipelines using Pachyderm 2.0
1. Auflage 2022
ISBN: 978-1-80107-907-5
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 364 Seiten

No detailed description available for "Reproducible Data Science with Pachyderm".

Autoren/Hrsg.

Karslioglu, Svetlana

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik

Inhaltsverzeichnis

Table of Contents - The Problem of Data Reproducibility
- Pachyderm Basics

- Pachyderm Pipeline Specification
- Installing Pachyderm Locally
- Installing Pachyderm on a Cloud Platform
- Creating Your First Pipeline
- Pachyderm Operations
- Creating an End-to-End Machine Learning Workflow

- Distributed Hyperparameter Tuning with Pachyderm
- Pachyderm Language Clients
- Using Pachyderm Notebooks

Über Autor(innen)

Karslioglu Svetlana:

Svetlana Karslioglu is a seasoned documentation professional with over 10 years of experience in top Silicon Valley companies. During her tenure at Pachyderm, she authored much of the open source documentation for Pachyderm and was also in charge of the documentation infrastructure. Throughout her career, she has spoken at local conferences and given talks advocating for open infrastructure and unbiased research in artificial intelligence. When Svetlana is not busy writing books, she spends time with her three children and her husband, Murat.