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Bibliography

  • Google AI Hub: Comprehensive tools and resources for AI development.
  • IBM Watson Resources: Guides and tutorials on leveraging Watson for market analysis.
  • Kaggle Datasets: A repository of datasets for practicing AI and machine learning.
  • Books:
    • “Artificial Intelligence in Practice” by Bernard Marr
    • “Predictive Analytics: The Power to Predict” by Eric Siegel
  • Online Courses:
    • Coursera’s “AI for Everyone” by Andrew Ng
    • Udemy’s “Data Science and Machine Learning Bootcamp”

These resources provide further opportunities to deepen your understanding and application of AI in identifying market needs.