Tag: possilibity

Data Life

Posted on by lechuck park

From ChatGPT with some prompting
reflecting the roles of human research and AI/machine learning in the data process:

Diagram Explanation :

  1. World:
    • Data is collected from the real world. This could be information from the web, sensor data, or other sources.
  2. Raw Data:
    • The collected data is in its raw, unprocessed form. It is prepared for analysis and processing.
  3. Analysis:
    • The data is analyzed to extract important information and patterns. During this process, rules are created.
  4. Rules Creation:
    • This step is driven by human research.
    • The human research process aims for logical and 100% accurate rules.
    • These rules are critical for processing and analyzing data with complete accuracy. For example, creating clear criteria for classifying or making decisions based on the data.
  5. New Data Generation:
    • New data is generated during the analysis process, which can be used for further analysis or to update existing rules.
  6. Machine Learning:
    • In this phase, AI models (rules) are trained using the data.
    • AI/machine learning goes beyond human-defined rules by utilizing vast amounts of data through computing power to achieve over 99% accuracy in predictions.
    • This process relies heavily on computational resources and energy, using probabilistic models to derive results from the data.
    • For instance, AI can identify whether an image contains a cat or a dog with over 99% accuracy based on the data it has learned from.

Overall Flow Summary :

  • Human research establishes logical rules that are 100% accurate, and these rules are essential for precise data processing and analysis.
  • AI/machine learning complements these rules by leveraging massive amounts of data and computing power to find high-probability results. This is done through probabilistic models that continuously improve and refine predictions over time.
  • Together, these two approaches enhance the effectiveness and accuracy of data processing and prediction.

This diagram effectively illustrates how human logical research and AI-driven data learning work together in the data processing lifecycle.