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Видео с ютуба Data Version Control Dvc

Futureproofing MLOps: Lubos Parobek on the Role of Data Versioning in the MLOps Stack

Futureproofing MLOps: Lubos Parobek on the Role of Data Versioning in the MLOps Stack

How to Debug Plot Errors in the DVC Extension for VS Code

How to Debug Plot Errors in the DVC Extension for VS Code

Noam Ross - Data Versioning for Reproducibility with R and Dolt

Noam Ross - Data Versioning for Reproducibility with R and Dolt

Version control for data science and machine learning with DVC

Version control for data science and machine learning with DVC

Dmitry Petrov: DataOps & ML automation with DVC

Dmitry Petrov: DataOps & ML automation with DVC

Новая глава для DVC: передача эстафеты lakeFS

Новая глава для DVC: передача эстафеты lakeFS

DevTools Porto: Chat GPT and Beyond

DevTools Porto: Chat GPT and Beyond

Data versioning using DVC | MLOPS Mastery Course

Data versioning using DVC | MLOPS Mastery Course

DVC in Machine Learning Engineering and MLOps Practices

DVC in Machine Learning Engineering and MLOps Practices

Keeping Your Data Safe at Scale

Keeping Your Data Safe at Scale

Demo: Machine Learning Experimentation with DVC and VS Code

Demo: Machine Learning Experimentation with DVC and VS Code

Data Versioning Control with Real ML Project | Hands-On Lesson #1

Data Versioning Control with Real ML Project | Hands-On Lesson #1

DagsHub Learning: Version and Stream Data with DVC and DagsHub

DagsHub Learning: Version and Stream Data with DVC and DagsHub

nf-core/bytesize: Data Science Operations

nf-core/bytesize: Data Science Operations

DVC Extension for VS Code Product Update: Selecting Multiple Files and Metrics in Plots Wizard

DVC Extension for VS Code Product Update: Selecting Multiple Files and Metrics in Plots Wizard

How to Turn Your IDE into a Machine Learning Experimentation Platform with the DVC ext for VS Code

How to Turn Your IDE into a Machine Learning Experimentation Platform with the DVC ext for VS Code

GitOps for ML - How to convert machine learning notebooks to reproducible DVC pipelines

GitOps for ML - How to convert machine learning notebooks to reproducible DVC pipelines

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

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

7. End to End  MLOps Portfolio Project  | Experiments Tracking DVC | MLOps |  DVC Pipeline

7. End to End MLOps Portfolio Project | Experiments Tracking DVC | MLOps | DVC Pipeline

Data Version Control with DVC & DagsHub | Complete #mlops Tutorial for #ml Projects | #2025 #clouds

Data Version Control with DVC & DagsHub | Complete #mlops Tutorial for #ml Projects | #2025 #clouds

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