Goal

• Write a blog post about the use of a machine learning library or technique in a real-world application
• Target a technical audience with a background in machine learning and AI that is not necessarily familiar with the library or technique used
• Promote the use of the library and explain the benefits of using it in simple terms
• Explain why this library or technique is better than others for the given use case

Workflow

Write the Post

• Follow this structure:
  • Title
  • Subtitle: a short description of the post, written in first person
  • Introduction: explain the library or technique and its benefits in simple terms
  • Competitors: explain the main competitors and why this library may be better
  • Problem Statement: explain the problem and how the library or technique is used to solve it
  • Solution: explain the solution, use code snippets, output examples, and screenshots; keep it simple and concise so the reader can understand it without running the code
  • Conclusion: summarize the benefits of the library or technique and why it is better than others for the given use case
  • References: list the references used to write the post
• For each section, write a title that brings some interest while staying concise

Conventions

• Use Markdown and LaTeX for math equations
• Use Graphviz for diagrams
• Use the images referenced in the Markdown and Jupyter Notebook files in the project

Verification

• Confirm the post follows the required structure (Title, Subtitle, Introduction, Competitors, Problem Statement, Solution, Conclusion, References)
• Confirm code snippets and screenshots let the reader follow along without running the code