Statistics in Artificial Intelligence: Techniques, Examples, and Use Cases

This method-focused outline introduces statistics in AI, covering its definition, role, and impact. It delineates key techniques like descriptive methods, predictive analytics, and Bayesian approaches, alongside real-world applications in NLP, clustering, and forecasting. Comprehensive use cases across sectors, including healthcare, finance, and retail, highlight practical relevance. The summary emphasizes key insights, emerging trends, and encourages continuous learning in statistical...