(see “Energy Shocks and Volatility.PDF”) What is price elasticity? Our final exam will be in class May 3!!! TOPIC 1: PRICE VOLATILITY AND ENERGY PROJECT VALUATION 1. There will be a written, closed-book final exam at whatever time is scheduled for our class' final exam. Mid-term Exam: October 24, 7:30pm Final Exam: December 15, 7:00pm Course Description. Please make sure YOUR NAME is on each of your blue books. References: Roughly half of the course will follow material from the following text: “Foundations of Machine Learning” by Mehryar Mohri, Afshin Rostamizadeh, and Ameet Talwalkar CS7641 - Cards Set 2. 2. 7641. Square brackets [] denote the points for a question. The ability to learn is not only central to most aspects of intelligent behavior, but machine learning techniques have become key components of many software systems. Be sure to write your name and Penn student ID (the 8 bigger digits on your ID card) on the answer form and ll in the associated bubbles in pencil. February 28, 12:10pm: Check the resources section for practice midterm questions and answers!!! 106 Cards – 1 Decks – 4 Learners Sample Decks: Exam Study Show Class CS 7642 - OMSCS (Final Exam) CS 7642 - OMSCS (Final Exam) Flashcard Maker: Van Bui. Time: 80 minutes. Machine learning is concerned with the question of how to make computers learn from experience. 1. Exam policy: This exam allows one one-page, two-sided cheat sheet; No other materials. Start studying CS7641 Final Exam. There is a semester-long group project. Lecture notes (Class Note) for CS 7641 - Machine Learning at Georgia Tech (GT) Keep working on your final projects! I will be available by e-mail over break. 3. Final Exam. EXAMPLE Machine Learning (C395) Exam Questions (1) Question: Explain the principle of the gradient descent algorithm. CS7641 - Cards Set 2 Flashcard Maker: James Marley. Write all answers in the blue books provided. April 10, 11:50am: Office hours Wednesday are cancelled. 40% - Final Exam; 10% - Participation; Note: The final exam will be held on Friday, December 7, from 2:40-5:30pm. Learn vocabulary, terms and more with flashcards, games and other study tools. Mid-term Exam Solution Your Name: Your Andrew ID: 1 True or False (Give one sentence explanation) (20%) 1. You may bring in your homework, class notes and text-books to help you. (F) For a continuous random variable x and its probability distribution function p(x), it holds that 0 ≤ p(x) ≤ 1 for all x. Please discuss these questions with your study group and then contact me for residual issues. Midterm exam time: Thursday, 10/30/2014, 10:30-11:50am, in class Final exam time: Monday, 12/08/2014, 10:30am-12:20pm, usual classroom (EEB 045) Previous Exams For any assignment of objects to clusters, there is some distance matrix D such that your clustering scheme P_D returns the clustering. Accompany your explanation with a diagram. The word around campus is that this is both a useful and fun exercise. This exam is open book. 1 FINA6228 / FINA 5345: Topics in Energy Finance Short Answer Questions Final Exam Short answer questions provide a structure to organize the discussion materials. Explain the use of all the terms and constants that you introduce and comment on the range of values that they can take. You will have 1 hour and 15 minutes. If you think a question is ambiguous, mark what you think is the best answer. (F) Decision tree is learned by minimizing information gain. Group Project. February 23, 5:45pm: We will have a review session 7:50-8:50pm March 1. Exam Schedule There will be one midterm and a final exam.
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