Free download » Free download video courses » Machine Learning experiments and engineering with DVC
| view 👀:181 | 🙍 oneddl | redaktor: Delcan | Rating👍:

Machine Learning experiments and engineering with DVC

Machine Learning experiments and engineering with DVC
Machine Learning experiments and engineering with DVC
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 70 lectures (4h 55m) | Size: 2.53 GB

Automate machine learning experiments, pipelines and model deployment (CI/CD, MLOps) with Data Version Control (DVC) What you'll learn:
What is Data Version Control (DVC) tool and how to use it
How to build reproducible Machine Learning experiments
How to automate pipelines execution with DVC
How to manage data and model versioning
How to organize code in Machine Learning projects
Basics of how to build, test, deploy and monitor Machine Learning model (CI/CD and MLOps)
How to start to use DVC in your projects (step by step)

Requirements
Python
Basic knowledge in CLI and Git is a plus
Linux / Mac OS

Description
Online video course to teach basics for Machine Learning experiment management, pipelines automation and CI/CD to deliver ML solution into production. During these lessons you'll discover base features of Data Version Control (DVC), how it works and how it may benefit your Machine Learning and Data Science projects.

During this course listeners learn engineering approaches in ML around a few practical examples. Screencast videos, repositories with examples and templates to put your hands dirty and make it easier apply best features in your own projects.

After this course you will be able to

Use DVC for data and artifacts version control

Build reproducible machine learning pipelines

Manage Machine Learning experiments

Automate pipelines configuration

Organize code in Machine Learning projects

Setup CI/CD pipelines with GitLab / GitHub and DVC

Who this course is for
Data Scientists
Machine Learning Engineers
Data Engineers
DevOps / MLOps Engineers


https://www.udemy.com/course/machine-learning-experiments-and-engineering-with-dvc/



PLEASE SUPPORT ME BY CLICK ONE OF MY LINKS IF YOU WANT BUYING OR EXTENDING YOUR ACCOUNT
https://nitroflare.com/view/111A84199BD568F/Machine_Learning_experiments_and_engineering_with_DVC.part1.rar
https://nitroflare.com/view/A2C10875AE1C9F9/Machine_Learning_experiments_and_engineering_with_DVC.part2.rar
https://nitroflare.com/view/5ECE69072938859/Machine_Learning_experiments_and_engineering_with_DVC.part3.rar

https://rapidgator.net/file/eed84d7046707d35e2839ebe2b9cbba6/Machine_Learning_experiments_and_engineering_with_DVC.part1.rar.html
https://rapidgator.net/file/9e3ba67af3cc94d5e29349a910c79f05/Machine_Learning_experiments_and_engineering_with_DVC.part2.rar.html
https://rapidgator.net/file/f5a6f8a8e7b93796df07cab0633cd51c/Machine_Learning_experiments_and_engineering_with_DVC.part3.rar.html

https://uploadgig.com/file/download/7858eCf0cDfEd6df/Machine_Learning_experiments_and_engineering_with_DVC.part1.rar
https://uploadgig.com/file/download/ac8BDEe60993e384/Machine_Learning_experiments_and_engineering_with_DVC.part2.rar
https://uploadgig.com/file/download/eAeaeeC1c744dd46/Machine_Learning_experiments_and_engineering_with_DVC.part3.rar

⚠️ Dead Link ?
You may submit a re-upload request using the search feature. All requests are reviewed in accordance with our Content Policy.

Request Re-upload
📌🔥Contract Support Link FileHost🔥📌
✅💰Contract Email: [email protected]

Help Us Grow – Share, Support

We need your support to keep providing high-quality content and services. Here’s how you can help:

  1. Share Our Website on Social Media! 📱
    Spread the word by sharing our website on your social media profiles. The more people who know about us, the better we can serve you with even more premium content!
  2. Get a Premium Filehost Account from Website! 🚀
    Tired of slow download speeds and waiting times? Upgrade to a Premium Filehost Account for faster downloads and priority access. Your purchase helps us maintain the site and continue providing excellent service.

Thank you for your continued support! Together, we can grow and improve the site for everyone. 🌐

Comments (0)

Information
Users of Guests are not allowed to comment this publication.