Skip to main content
Have a personal or library account? Click to login
Data Engineering for AI/ML Pipelines Cover

Data Engineering for AI/ML Pipelines

Ultimate guide to data pipelines and architectures for AI/ML applications (English Edition)

Publisher:BPB Publications
By: Venkata Karthik Penikalapati and  Mitesh Mangaonkar  
Paid access
|Nov 2024
Product purchase options
Authors

Authors

Penikalapati, Venkata Karthik

reference-global.comGoogle Scholar

Mangaonkar, Mitesh

reference-global.comGoogle Scholar
PDF ISBN: 978-93-6589-903-0 | E-Pub ISBN: 978-93-6589-775-3
Publisher: BPB Publications
Copyright owner: © 2025 BPB Publications
Publication date: 2024
Language: English
Pages: 260
Related subjects:
Computer sciences,
Artificial intelligence

People also read

Data Engineering for AI
Book

Data Engineering for AI

Sundeep Goud Katta, Lav Kumar
Hello Modern Data Pipelines
Book
Coming soon

Hello Modern Data Pipelines

Raj Kishore Singh
Data Engineering Best Practices
Book

Data Engineering Best Practices

Richard J. Schiller, David Larochelle
Data Engineering with Python
Book

Data Engineering with Python

Paul Crickard
Data Engineering Fundamentals
Book

Data Engineering Fundamentals

Zhaolong Liu
Deep Learning for Data Architects
Book

Deep Learning for Data Architects

Shekhar Khandelwal
Modern Data Architecture in AI
Book

Modern Data Architecture in AI

Abhik Choudhury, Praneeth Puchakayala, Aishwarya Badlani
Data Engineering Best Practices
Book
Coming soon

Data Engineering Best Practices

Luiz Fernando F Dos Santos, Chandan Ramanna
Modern Data Architectures with Python
Book

Modern Data Architectures with Python

Brian Lipp
Operationalizing Machine Learning Pipelines
Book

Operationalizing Machine Learning Pipelines

Vishwajyoti Pandey, Shaleen Bengani