Consider a binary classification problem with an ensemble learning algorithm that uses simple majority voting among K learned hypotheses. Suppose that each hypothesis has error E and that the errors made by each hypothesis are independent of the others. Calculate a formula for the error of the ensemble algorithm in terms of K and E, and evaluate it for the cases where K =5, 11, and 21 and E=0.1, 0.2, and 0.4. If the independence assumption is removed, is it possible for the ensemble error to be worse than E?
SQL & Data Management
Write a SQL query to find the second-highest salary from an Employee table without using LIMIT. Given a Sales table with Date, Product_ID, and Revenue, write a query to find the cumulative revenue per product over time. Design a normalized database schema for an e-commerce application handling customers, orders, and