AI in Real-world Applications
Artificial Intelligence is revolutionizing various industries by automating tasks and improving decision-making and user experiences. The chapter focuses on notable applications in sectors like healthcare, finance, retail, and education, as well as foundational tools like recommendation systems and predictive analytics that leverage data for better outcomes.
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What we have learnt
- AI is significantly transforming multiple industries through automation and enhanced decision-making capabilities.
- Key applications of AI can be found in healthcare, finance, retail, and education.
- Recommendation systems and predictive analytics are crucial tools that help organizations understand data and forecast future events.
Key Concepts
- -- Artificial Intelligence (AI)
- A field of computer science that enables machines to perform tasks that typically require human intelligence.
- -- Recommendation Systems
- Systems that suggest products or services to users based on their preferences and behaviors.
- -- Predictive Analytics
- The use of historical data and machine learning techniques to predict future outcomes or behaviors.
- -- Collaborative Filtering
- A method used in recommendation systems that relies on the interactions between users and items.
- -- ContentBased Filtering
- A recommendation method that uses the features of items and user profiles to suggest similar items.
- -- Hybrid Approaches
- Combines multiple recommendation techniques to improve result accuracy.
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