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دسته بندی دوره ها

Sustainable & Scalable Machine Learning Project Development

سرفصل های دوره

Learn, hands-on, how to build and manage Machine Learning Systems


1. Introduction
  • 1. Course Introduction
  • 2. Why This Course
  • 3.1 2020 state of enterprise machine learning.html
  • 3.2 Machine Learning Engineering.html
  • 3.3 MLOps - Motivation.html
  • 3. Why Too Many Companies Fail
  • 4. Why Too Many Companies Fail - Resources.html
  • 5. What This Course is NOT About
  • 6. Important Information
  • 7. Where to start.html

  • 2. Git and Github Quickstart
  • 1. Git and Github Quickstart section introduction
  • 2. Git and Github - What are they
  • 3. Git Installation - Linux
  • 4. Git Installation - Windows
  • 5. Git Installation - MacOS
  • 6. Github - Account creation
  • 7. Adding an SSH key pair to GitHub account - Linux
  • 8. Adding an SSH key pair to GitHub Account - MacOS
  • 9. Git and GitHub - Basic workflow
  • 10. Reverting Your Changes Back
  • 11. Commit History
  • 12. Aliases
  • 13. Reverting Back to a Previous Commit
  • 14. Git Diff
  • 15. Branching and Merging
  • 16. Pull Request and Code Review
  • 17. Rebase
  • 18. Stashing
  • 19. Tagging
  • 20. Cherry Pick
  • 21. Git and GitHub - Final Words

  • 3. Docker Quickstart
  • 1. Docker Quickstart section introduction
  • 2. What Is Docker and Why Do We Use It
  • 3. Installation - Linux
  • 4. Installation - Windows
  • 5. Installation - MacOS
  • 6. Docker Containers
  • 7. Docker Containers - Hands On
  • 8. Why Docker Is So Good
  • 9. Docker Images
  • 10. Dockerfile
  • 11. More about Dockerfile
  • 12. Persistent Data In Docker
  • 13. Persistent Data In Docker - Volumes - Hands On
  • 14. Persistent Data in Docker - Bind Mounting - Hands On
  • 15. Docker Compose
  • 16. Dockerfile Best Practices

  • 4. DVC
  • 1. DVC - Section Introduciton
  • 2. Data Versioning
  • 3. Accessing Your Data
  • 4. Pipelines - Part 1
  • 5. Pipelines - Part 2
  • 6. Pipelines - Part 3
  • 7. Metrics And Experiments

  • 5. Hydra
  • 1. Hydra - Section Introduction
  • 2. How to Use Hydra From Command-Line
  • 3. Specifying A Config File
  • 4. More About OmegaConf
  • 5. Grouping Config Files
  • 6. Selecting Default Configs
  • 7. Multirun
  • 8. Output And Working Directory
  • 9. Logging
  • 10. Debugging
  • 11. Tab Completion
  • 12. Structured Configs
  • 13. Structured Configs Basic Usage
  • 14. Hierarchical Static Configuration
  • 15. Config Groups in Structured Configs
  • 16. Defaults List in Structured Configs
  • 17. Structured Config Schema

  • 6. Google Cloud Platform Quickstart
  • 1. Google Cloud Platform - Section Introduction
  • 2. How to Create An Account
  • 3. How to Create a Project
  • 4. gsutils and gcloud commands
  • 5. Google Cloud Storage (GCS) - Bucket Creation
  • 6. Google Cloud Storage (GCS) - Bucket Usage
  • 7. Google Compute Engine (GCE)
  • 8. Google Compute Engine (GCE) - Quotas

  • 7. Dask
  • 1. Dask - Section Introduction
  • 2. Dask DataFrame
  • 3. Getting Started with Dask
  • 4. Creating and Storing Dask DataFrames
  • 5. Dask DataFrame - Best Practices
  • 6. Shuffling for GroupBy and Join
  • 7. Delayed
  • 8. Futures
  • 9. Scheduling
  • 10. Deploying Clusters - Command Line
  • 11. Deploying Clusters - Python API

  • 8. Data Versioning With DVC
  • 1. Prerequisites.html
  • 2. GitHub Repository Creation
  • 3. Specifying Python Dependencies
  • 4. Dockerfile Creation
  • 5. docker-compose File Creation
  • 6. Makefile Creation
  • 7. Datasets
  • 8. Initializing DVC
  • 9. Initializing DVC Storage
  • 10. Setting Up Hydra Configuration
  • 11. How To Update Python Dependencies
  • 12. Data Versioning
  • 13. Data Versioning - Creating A New Version
  • 14. Data Versioning - Creating A New Version - Assignment
  • 15. Data Versioning - Creating A New Version - Assignment Solution
  • 16. Sorting - Formatting - Type Checking
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    تاریخ انتشار: ۲۸ اردیبهشت ۱۴۰۲
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