Media Summary: In this code-free, five-minute explainer for complete beginners, we'll teach you about Speaker: Alessia Marcolini Track:PyData Are you versioning your Machine Learning Published on August 28, 2018: In this video, we will learn about the importance of

Version Control For A Data Science Project - Detailed Analysis & Overview

In this code-free, five-minute explainer for complete beginners, we'll teach you about Speaker: Alessia Marcolini Track:PyData Are you versioning your Machine Learning Published on August 28, 2018: In this video, we will learn about the importance of This tutorial is for total beginners to get started using DVC and Git to This hands-on workshop led by DSI's Associate Director for the Humanities and Professor of English Dr. Carl Stahmer will coverĀ ... ... I also go through the general workflow of a

In this session, Alex Kim, teaches us how to manage and make your machine learning To address the reproducibility we have build Data To address that need Dmitry Petrov built the

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Version Control for Data Science Explained in 5 Minutes (No Code!)
Alessia Marcolini: Version Control for Data Science | PyData Berlin 2019
Data versioning in machine learning projects - Dmitry Petrov
Version Control For a Data Science Project
Versioning Data with DVC (Hands-On Tutorial!)
Data Science Initiative Workshop: Intro to Git for Version Control
git for Data Science Made Simple... (Hopefully)
Tutorial: Version control for scientists Part 1: Git & GitHub
Machine Learning Data Version Control (DVC): Reproducibility and Collaboration in your ML Projects
Data Version Control - Machine Learning Time Travel
Version Control For Your Machine Learning Projects
How to Version Control Your Data and Models with DVC
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Version Control for Data Science Explained in 5 Minutes (No Code!)

Version Control for Data Science Explained in 5 Minutes (No Code!)

In this code-free, five-minute explainer for complete beginners, we'll teach you about

Alessia Marcolini: Version Control for Data Science | PyData Berlin 2019

Alessia Marcolini: Version Control for Data Science | PyData Berlin 2019

Speaker: Alessia Marcolini Track:PyData Are you versioning your Machine Learning

Data versioning in machine learning projects - Dmitry Petrov

Data versioning in machine learning projects - Dmitry Petrov

Data

Version Control For a Data Science Project

Version Control For a Data Science Project

Published on August 28, 2018: In this video, we will learn about the importance of

Versioning Data with DVC (Hands-On Tutorial!)

Versioning Data with DVC (Hands-On Tutorial!)

This tutorial is for total beginners to get started using DVC and Git to

Sponsored
Data Science Initiative Workshop: Intro to Git for Version Control

Data Science Initiative Workshop: Intro to Git for Version Control

This hands-on workshop led by DSI's Associate Director for the Humanities and Professor of English Dr. Carl Stahmer will coverĀ ...

git for Data Science Made Simple... (Hopefully)

git for Data Science Made Simple... (Hopefully)

... I also go through the general workflow of a

Tutorial: Version control for scientists Part 1: Git & GitHub

Tutorial: Version control for scientists Part 1: Git & GitHub

Steve Purves Having access to

Machine Learning Data Version Control (DVC): Reproducibility and Collaboration in your ML Projects

Machine Learning Data Version Control (DVC): Reproducibility and Collaboration in your ML Projects

In this session, Alex Kim, teaches us how to manage and make your machine learning

Data Version Control - Machine Learning Time Travel

Data Version Control - Machine Learning Time Travel

To address the reproducibility we have build Data

Version Control For Your Machine Learning Projects

Version Control For Your Machine Learning Projects

To address that need Dmitry Petrov built the

How to Version Control Your Data and Models with DVC

How to Version Control Your Data and Models with DVC

Full playlist on

How to manage model and data versions

How to manage model and data versions

Managing