Topological Data Analysis

Topological Data Analysis

MR ERIC MOURANT
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A universal null-distribution for topological data analysis https://rdcu.be/dvdWF

Topological Data Analysis Features

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Try These Prompts

Click on an example to start a conversation:

  • Distil to less than 200 words
  • What are 3 great questions about this research
  • Surreal oil painting using this research as inspiration

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Tips for Best Results

  • ๐Ÿ” Be Specific: The more detail you provide in your prompts, the better Topological Data Analysis can understand and fulfill your request.
  • ๐ŸŒ Provide Context: If your query relates to something specific, include that context. For example, instead of "Write a story," try "Write a story about a brave knight in a medieval setting."
  • ๐Ÿ”„ Iterate and Refine: Don't expect the perfect answer on the first try. If the initial response isn't quite right, ask follow-up questions or rephrase your prompt to guide the AI.
  • ๐Ÿงช Experiment: Try different types of questions and tasks to explore the capabilities of Topological Data Analysis.
  • ๐Ÿ’ฌ Use Clear Language: Avoid ambiguity and overly complex sentences for clearer communication.