Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Designing Machine Learning Systems

An Iterative Process for Production-Ready Applications

By
Chip Huyen
Chip Huyen
2022 • 368 pages

Ratings1

Average rating3

15

List

50 books

Ai Data Science

kaan
Kaan
Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with Unix Power Tools
Veri Bilimi
Çıplak İstatistik
Natural Language Processing With Python
Python Data Science Handbook
The Art of Statistics

List

13 books

Software Related

joaquinbenitez
Joaquin
An Elegant Puzzle: Systems of Engineering Management
Software Engineering at Google
The Manager's Path: A Guide for Tech Leaders Navigating Growth and Change
The Pragmatic Programmer
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

List

14 books

Ingenieria Datos

juantargon
juan targon
Learning Spark: Lightning-Fast Big Data Analysis
Data Pipelines with Apache Airflow
Data Pipelines Pocket Reference: Moving and Processing Data for Analytics
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications