Webinar Version Control In Machine Learning

By Editorial Team · September 30, 2026 · 6 min read

Webinar Version Control In Machine Learning Information Guide

  1. Overview of Webinar Version Control In Machine Learning
  2. Important Facts
  3. Developments
  4. Detailed Analysis
  5. Summary

Overview of Webinar Version Control In Machine Learning

Full [Webinar] Version Control in Machine Learning Guide
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Important Facts

Details [Webinar] Version Control for Jupyter Notebooks Guide
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Developments

Details Version and Stream data with DVC and DDA Update
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Webinar: API Version Control with Git
Webinar: API Version Control with Git
Alessia Marcolini: Version Control for Data Science | PyData Berlin 2019
Alessia Marcolini: Version Control for Data Science | PyData Berlin 2019
Data Version Control - Machine Learning Time Travel
Data Version Control - Machine Learning Time Travel
Intro to Version Control for Machine Learning
Intro to Version Control for Machine Learning
How to manage model and data versions
How to manage model and data versions
May 2023 Webinar: Version Control and RStudio
May 2023 Webinar: Version Control and RStudio
ODSC Webinar | CI/CD for Machine Learning
ODSC Webinar | CI/CD for Machine Learning
Webinar: Introduction to Git for Clinical Statisticians
Webinar: Introduction to Git for Clinical Statisticians
Data Version Control Tutorial: Step-by-Step Setup Guide for ML & Data Science Teams
Data Version Control Tutorial: Step-by-Step Setup Guide for ML & Data Science Teams
Applied Machine Learning 2019 - Lecture 02 - Version control and Testing
Applied Machine Learning 2019 - Lecture 02 - Version control and Testing
Introduction to Git and GitHub Webinar, Section 1 - What is version control and why to use it
Introduction to Git and GitHub Webinar, Section 1 - What is version control and why to use it

Detailed Analysis

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Last Updated: September 30, 2026

Summary

Details Data versioning in machine learning projects - Dmitry Petrov Update
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Summary

Time: November 22nd 2018 from 1PM to 2PM CET Agenda: - Speaker: Alessia Marcolini Track:PyData Are you versioning your Today data science community is still lacking good practices for organizing their projects and effectively collaborating. CML is a project to help ML and data science practitioners automate their ML model training and model evaluation using best ...

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