May 10, 2024, 5:57 p.m. | Raju Nekadi

DEV Community dev.to

Introduction


If you are machine learning engineer and started to productionalize your model prediction pipeline you may came across below question.


how to write memory efficient prediction data pipelines in python.


Working with a dataset that is too large to fit into memory


Then this post is for you. I will go over how to write memory efficient data pipelines using generators and batching.


Let's setup dataset for our example, here we will be NYC Parking Violations Issued - Fiscal …

data dataengineering data pipelines dataset engineer example googlecloud introduction machine machine learning machinelearning machine learning engineer machine learning model memory pipeline pipelines prediction python question

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US