AI and Machine Learning Demystified by Carol Smith at Midwest UX 2017Carol SmithWhat is machine learning? Is UX relevant in the age of artificial intelligence (AI)? How can I take advantage of cognitive computing? Get answers to these questions and learn about the implications for your work in this session. Carol will help you understand at a basic level how these systems are built and what is required to get insights from them. Carol will present examples of how machine learning is already being used and explore the ethical challenges inherent in creating AI. You will walk away with an awareness of the weaknesses of AI and the knowledge of how these systems work.
лекц № 3 ба 4 Эрэлт, Нийлүүлэлт, МэдрэмжJust BurneeThe document appears to be a company logo repeated many times over several pages. It includes the text "Company Logo" and the website "www.themegallery.com". The logo and website are printed without any other words or context.
Lecture 4Just BurneeThis document discusses demand theory and the concept of elasticity in economics. It defines demand as a buyer's willingness and ability to pay for a good or service. The key factors that influence demand are outlined as price, income of consumers, availability of substitutes, and cross-prices of related goods. Elasticity measures the responsiveness of quantity demanded to changes in price or other factors. Price elasticity is computed by comparing the percentage changes in quantity and price. Demand can be inelastic, elastic, or unit elastic depending on the elasticity value. The relationship between elasticity, total revenue, and marginal revenue is also examined.