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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تولید کننده: Udemy-Training