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Version Control ML Model

Towards Data Science

Machine Learning operations (let’s call it mlOps under the current buzzword pattern xxOps) are quite different from traditional software development operations (devOps). One of the reasons is that ML…...

Version Control Your ML Model Deployment With Git using Modelbit

Towards Data Science

Develop, deploy, and track! Photo by Yancy Min on Unsplash Introduction Version control is critical to all development processes, allowing developers to track software changes (code, configurations, ...

Version Controlling in Practice: Data, ML Model, and Code

Towards Data Science

Version control is a crucial practice! Without it, your project may become disorganized, making it challenging to roll back to any desired point. You risk losing critical model configurations, weights...

Version Control for Data Scientists: A Hands-on Introduction

Towards Data Science

Historically, many data scientists didn’t use “software development” tools like version control systems. These days as their code becomes more sophisticated and data scientists are increasingly…

Introduction to Data Version Control

Towards Data Science

What is Data Version Control (DVC)? Any production-level system requires some kind of versioning. A single source of current truth. Any resources that are continuously updated, especially simultaneous...

Introduction to DVC: Data Version Control Tool for Machine Learning Projects

Towards Data Science

Git is a powerful tool for version control. It allows you to go back and forth between different versions of your code without being afraid of losing the code you change. As a data scientist, you…

Sapling by Meta: A Review of the New Version Control System

Better Programming

Setting up the new system, learn how to use it, and analyzing pros and cons Continue reading on Better Programming

Introduction to Version Control using Git

Analytics Vidhya

Version Control is an essential part of programming while we are working as team. Version Control is used to keep track of changes done to documents , files , programs and other collection of…

Branches Are All You Need: Our Opinionated ML Versioning Framework

Towards Data Science

A practical approach to versioning machine learning projects using Git Branches that simplifies workflows and organises data and models TL;DR A simple approach to versioning machine learning projects...

Versioned Data Management System Design

Level Up Coding

Introduction Previously, I introduced a distributed ledger system . From a technical level, I explained how to build a data store that supports version history consistently. Expanding on this, this po...

👥 Edge#153: ML Model Versioning

TheSequence

In this issue: we discuss ML Model Versioning; we explore how Uber backtests and versions forecasting models at scale; we overview Lyft’s Amundsen, an open-sourced data discovery and versioning platfo...

The DVC Guide: Data Version Control For All Your Data Science Projects

Towards Data Science

Become familiar with data versioning just like code versioning Continue reading on Towards Data Science

Model Rollbacks Through Versioning

Towards Data Science

The Walmart Rollback isn’t the only kind that can save you money Using Model Rollbacks Is Fun! There’s general consensus in the Machine Learning community that models can and have made biased decisio...

Version Control Systems

Arcade Academy

We will use a version control system to track your work, and allow the instructor to give feedback. Odds are, this will be the same exact system you’d use in a large company. 3.1. Quick Reference  T...

How to Version Control your Machine Learning task — I

Towards Data Science

A component of software configuration management, version control, also known as revision control or source control,[1] is the management of changes to documents, computer programs, large web sites…

How to use data version control (dvc) in a machine learning project

Towards Data Science

When working in a productive machine learning project you probably deal with a tone of data and several models. To keep track of which models were trained with which data, you should use a system to…

Step by Step guide to Version Control your Machine Learning and Deep Learning tasks — II

Becoming Human: Artificial Intelligence Magazine

This post is in continuation of the previous post : How to Version Control your Machine Learning - I. If you have not read the previous post, I would recommend to have a look at the previous post to…

Data Version Control For the Modern Data Scientist: 7 DVC Concepts You Can’t Ignore

Towards Data Science

Explained with striking visuals Continue reading on Towards Data Science

A Layman’s Introduction to Version Control System

Towards Data Science

Have you ever saved your files with date-time stamps in file names? I guess most of us have done it to save a version of our existing files. This is required when we have certain changes to be done…

Deep dive into version control using Git

Towards Data Science

Git is a free tool that allows for efficient code revisions by providing a distributed version control system. It is one of the most helpful tools I learned when I started learning programming…

The way you version control your ML projects is wrong

Towards Data Science

How can you version the slightest change you make inside your project, automatically, without even thinking about it.

Version control machine learning experiments

Analytics Vidhya

Nowadays, learning from data to gain business insights is common for almost every industry. These insights include— predictability, customer churn behavior, forecasting, etc.. Machine learning is the…...

Comparing Data Version Control Tools — 2020

Towards Data Science

An overview and comparison of tools for data version control in 2020

Version Control 101: Definition and benefits

Towards Data Science

The field of software engineering is a rapidly changing field. When it comes to software, there are no final versions. All applications and codes are always undergoing continuous development. One of…