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The Disciple

Disciple's Initiation

Basics of AI

  • Understanding the fundamental concepts of artificial intelligence
  • Exploring the history and evolution of AI technology
  • Learning about different types of AI systems and their applications

Use Cases of AI

  • Real-world applications across industries
  • How AI is transforming business processes
  • Future possibilities and emerging trends

Understanding Data in the Context of AI

  • What is data in the world of AI?
  • How does AI 'see' and interpret information?
  • The relationship between data quality and AI performance

Importance of Data Visualization and Normalization

  • Making sense of raw data through visual storytelling
  • Standardizing data for fair and accurate analysis
  • Tools and techniques for effective data presentation

Identifying Discrete Patterns within Data

  • Spotting distinct groups and trends in information
  • Pattern recognition techniques and methodologies
  • Understanding the significance of data patterns in AI

Hands-on Python Code Exercises

  • First practical steps: manipulating and visualizing data with code
  • Setting up your Python development environment
  • Working with popular data science libraries like pandas and matplotlib