Instructions/notes CS585 Final Fall term, 12/12/18 Duration: 1 hour the exam is closed books/notes/devices/neighbors, and open mind 🙂 there are 8 questions, and a ¡®non-data-related¡¯ bonus there are no ¡®trick¡¯ questions, or ones with long calculations or formulae please do NOT cheat; you get a 0 if you are found to have cheated when time […]
Total points: 6 (+1… the total will be capped at 6) This last hw is on supervised machine learning! As you now know, it’s data-related (lots, and lots, and lots of it), after all 🙂 Here is a summary of what you’ll do: on Google’s Colab, train a neural network on differentiating between a cat
HW5: Data Mining [tool-based] Total points: 6 Summary: In this homework, you are going to use three UI-based tools (no coding!), to carry out data mining: WEKA, KNIME, RapidMiner (the last two are dataflow-driven!). There are 3 questions you need to answer about linear regression, one using each tool. Description WEKA Start by downloading WEKA,
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Instructions/notes CS585 Final Spring 2018: 5/3/18 Duration: 1 hour the exam is closed books/notes/devices/neighbors, and open mind 🙂 there are 10 questions, plus a bonus there are no ‘trick’ questions please do NOT cheat; you get a 0 if you are found to have cheated when time is up, stop your work; you get a
CS 6601 Final Exam Search Part A Coal processing consists of several process steps including crushing, screening, and beneficiation/preparation. Each process step is usually carried out in specialized facilities at different locations. Coal often must be transported between steps in various forms to and from the different locations as it is transformed from its raw
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Your submission should be a single zip file named after your exam number, Yxxxxxxx.zip, which contains: • For Part 1 of this assessment – a single Jupyter or Colab notebook EVAC1.ipynb combining code and explanations – a PDF EVAC1.pdf of the state of the same notebook after all of its code has been executed. •
INFS3202/7202 Individual Project 1. The individual project is intended to evaluate your proficiency in designing and developing WIS, with an emphasis on the technology aspect of the course. 2. In general, this project includes a project proposal (5 marks) and implementation (40 marks) that will be assessed in THREE milestone check- up sessions based on
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COMP3411/9814 Artificial Intelligence Term 1, 2023 Assignment 3 – Planning and Machine Learning Due: Week 10 – 10pm Friday 21 April Marks: 10% of final assessment for COMP3411/9814 Artificial Intelligence Question 1: Planning (4 marks) Modify the simple planner from the week 7 lecture so that it can solve the planning problem in the textbook,
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April 9, 2023 1 CS 449 Final Project Proposal Due: April 18, 2023 at 11:59pm 1.1 1. Names and Net IDs List your group members 1.2 2. Abstract Your abstract should be two or three sentences describing the motivation for your project and your proposed methods. For example: Our final project seeks to use a
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Math 5440 Course Syllabus This is a course on quantitative trading organized around the unifying topic of price impact. Price impact is a central phenomenon in trading that affects quantitative strategies over all horizons. Practitioners use price impact models in many finance applications. Quantitative traders optimize and analyze the performance of their trading algorithms using
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