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Showing: 13 courses
MLOps World: Machine Learning in Production

Data Versioning in Generative AI: A Pathway to Cost-Effective ML

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Explore data versioning strategies for Generative AI, focusing on managing large-scale unstructured data and optimizing resource usage in model scoring and API interactions.
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1 Lesons
27 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Applying GitOps Principles in End-to-End MLOps Projects - Interactive Workshop

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Implement GitOps principles in MLOps using DVC to create an end-to-end pipeline centered around a git repository as the single source of truth.
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1 Lesons
1 hour 27 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Data Versioning in Generative AI - A Pathway to Cost-effective Machine Learning

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Explore data versioning strategies for generative AI, focusing on cost-effective techniques to minimize processing time and API calls while enhancing collaboration and efficient versioning of annotations and embeddings.
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1 Lesons
35 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Building an ML Platform from Scratch

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Develop a customizable ML platform using open-source tools. Learn to integrate Cookiecutter, DVC, MLFlow, KFServing, and more for a flexible solution tailored to your organization's needs.
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1 Lesons
1 hour 51 minutes
On-Demand
Free-Video
MLOps World: Machine Learning in Production

Using Reproducible Experiments to Create Better Machine Learning Models

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Enhance ML model efficiency through reproducible experiments. Learn to track hyperparameter, code, and data changes using DVC for grid and random search tuning methods.
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1 Lesons
30 minutes
On-Demand
Free-Video
Data Science Conference

Build End-to-End MLOps Platform with Open Source DVC Ecosystem

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Master MLOps platform development using DVC ecosystem for data versioning, experiment tracking, and CI/CD pipeline automation. Learn practical implementations across various industries and ML applications.
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1 Lesons
2 hours 10 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

Adapting Continuous Integration and Continuous Delivery for Machine Learning

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Explore MLOps practices for managing ML complexity, adapting CI/CD workflows using Git, GitHub Actions, and DVC to balance experimentation with stability in production.
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1 Lesons
34 minutes
On-Demand
Free-Video
Krish Naik

End to End Deep Learning Project Using MLOPS DVC Pipeline With Deployments Azure and AWS - Krish Naik

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Comprehensive guide to building and deploying a deep learning project for chicken disease classification using MLOps tools, DVC pipeline, and cloud platforms Azure and AWS.
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24 Lesons
3 hours 51 minutes
On-Demand
Free-Video
Krish Naik

End-to-End Deep Learning Project: Kidney Disease Classification with MLflow, DVC, and Deployment

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Comprehensive deep learning project on kidney disease classification, covering data ingestion, model preparation, training, evaluation, MLflow integration, DVC pipeline, and AWS deployment.
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15 Lesons
4 hours 6 minutes
On-Demand
Free-Video
Linux Foundation

Open Source Tools for ML Experiments Management

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Explore ML workflow management tools, focusing on DVC for efficient data and model handling in AI projects. Learn about versioning, metrics visualization, and addressing unique ML development challenges.
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1 Lesons
37 minutes
On-Demand
Free-Video
PyCon US

Transforming a Jupyter Notebook into a Reproducible Pipeline for ML Experiments

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Learn to transform Jupyter Notebooks into reproducible ML pipelines using Git and DVC. Explore techniques for experiment tracking, modularization, and result comparison in a text2image project with Stable Diffusion.
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1 Lesons
26 minutes
On-Demand
Free-Video
EuroPython Conference

Automating Machine Learning Workflow with DVC

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Discover how to automate and streamline machine learning workflows using DVC, from data ingestion to model deployment. Learn to organize pipelines efficiently, regardless of project size.
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1 Lesons
30 minutes
On-Demand
Free-Video
Toronto Machine Learning Series (TMLS)

10X Faster Machine Learning: From R&D to Production

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Supercharge ML experimentation with PyTorch Lightning and DVC, and streamline production using Kubeflow. Learn to overcome challenges in complex ML model development and deployment.
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1 Lesons
1 hour 24 minutes
On-Demand
Free-Video