MLOps Community
+00:00 GMT
Sign in or Join the community to continue

Code Quality in Data Science

Posted Jul 12, 2022 | Views 965
# Data Science
# Clean Architecture
# Design Patterns
Share
speaker
avatar
Laszlo Sragner
Founder @ Hypergolic
SUMMARY

You hear a lot of advice on applying code craft paradigms to Machine Learning, but what exactly do you need to do?

In this presentation, Laszlo introduces a minimal set of techniques that will help remove technical debt and make it more productive. Laszlo talks about: Clean Architecture, Design Patterns, Code Smells, Refactoring, Code Readability, and how these come together in a Data Science project.

+ Read More

Watch More

34:58
Code Smells in Data Science: What can we do about them?
Posted Aug 14, 2023 | Views 494
# Code Smells
# Data Science
# Hypergolic
# hypergolic.co.uk
Driving ML Data Quality with Data Contracts
Posted Nov 29, 2022 | Views 2.5K
# ML Data
# Data Contracts
# GoCardless
Challenges and Opportunities in Building Data Science Solutions with LLMs
Posted Apr 18, 2023 | Views 1.5K
# LLM in Production
# Data Science Solutions
# QuantumBlack
# Rungalileo.io
# Snorkel.ai
# Wandb.ai
# Tecton.ai
# Petuum.com
# mckinsey.com/quantumblack
# Wallaroo.ai
# Union.ai
# Redis.com
# Alphasignal.ai
# Bigbraindaily.com
# Turningpost.com