Large-Scale Data Mining: Models and Algorithms ECE 219 Winter 2022 Prof. Vwani Roychowdhury UCLA, Department of ECE Project 2: Data Representations and Clustering Due Feb 7th, 2022 by 11:59 pm Introduction Machine learning algorithms are applied to a wide variety of data, including text and images. Before applying these algorithms, one needs to convert the […]
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Unit 1 Individual Assignment. You must upload an Excel spreadsheet for your assignment, with formulas showing all calculations. Please name your file “Lastname, Firstname Unit 1”. Please answer the following questions. All numbers should be in thousands of dollars. Problem 1 Construct an Income Statement for Maxus Manufacturing, for the year ending December 31, 2021,
Lab 2 – Intro to the Grid World Hello! Welcome to Week 2 of Artificial Intelligence. The purpose of this lab is to introduce you to the Grid World where the remaining prolog labs will take place. This lab is vitally important for both coursework and exam students so please make sure that you complete
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% Perform a BFS to find the nearest oracle search_bf :- my_agent(A), get_agent_position(A,P), (complete(P) -> true ;otherwise -> true). % Test if the objective has been completed at a given position complete(P) :- true. % This is the main predicate, and should be true only when A is your identity % find_identity(-A) find_identity(A) :- true.
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Welcome to the Grid! Introduction · QuickStart · Library Predicates · User Shell · Outline This document is an introduction to the GridWorld platform used in the Prolog labs of the 3rd year AI unit COMS30014 (and associated assessments COMS30013 and COMS30062). 1 Introduction The purpose of Grid World lab platform is to provide an
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CSCI 3132: Object-Oriented and Generic Programming Winter 2023 Assignment 2: Smalltalk 20 marks Preparing: You may want a bit more hands-on experience with Smalltalk before diving into the assignment. The BankAccount tutorial for Squeak available at http://static.squeak.org/tutorials/BankAccount.html is a good introductory tutorial that will help. Note: if you do complete the tutorial, do not hand
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AIDM7380 Recommender Systems for Digital Media AIDM7380 L2 – py_nb_implicitRatings-withExercises # Install libraries using pip package in the current Jupyter kernel User Behaviour and the User-Item Matrix¶ Importing and knowing your data¶ # Import the library import wget import os, pathlib # Setup URL and path variables baseURL = ‘https://raw.githubusercontent.com/pmengoni/AIDM7380-2223S2/main/’ doc = ‘collector_log.csv’ fullURL =
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CSE 3341, Core Interpreter Project, Part 2 (Parser, Printer, Executor) 1. This is the second part of the Core interpreter project. In this part, you have to implement the parser, printer, and executor. You should the same language, Java or Python, that you used for writing your Tokenizer. 2. If there are any special considerations
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CSE 3341, Core Tokenizer Project Due: 11:59pm on Wednesday, Feb. 23, ’22 (50 points) Grade: This part of the project is worth 50 points. (The second part of the project will consist of the Parser, PrettyPrinter and Executor and will be worth 100 points.) Goal: The goal of this part of the project is to
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CSE 3341 Project 1 – Core Scanner Overview The goal of this project is to build a scanner for a version of the Core language, a pretend language we will be discussing in class. For this project you are given the following: “3341 Project 1.pdf” – This handout. Make sure you read it completely
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