•Write a function calculateArea that takes two arguments, length and width, and calculates the area of a rectangle. Use multiple dispatch to implement the function so that it works with both scalars and arrays of numbers. •Create a custom type Animal with properties name and species. Implement a function speak that takes an Animal object […]
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605.621 Foundations of Algorithms Spring 2023 Programming Assignment #2 Assigned with Module 3, Due at the end of Module 7 The goals of Programming Assignment 2 are: (1) to have you express your understanding of recursion trees through a program, and (2) to exercise the algorithm analysis techniques you studied in Modules 1 and 2.
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Definition 3.5 (Baase & Van Gelder) 605.621 Page 1 of 3 An Improved Method for Generating Recursion Trees Baase and Van Gelder define an algorithm for generating a recursion tree. First let’s look at the algorithm they defined. Then we’ll repeat our work with Figure 4.5 using the notation Baase and Van Gelder suggest. I
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Alistair receives a text message from his friend Beatrice, who is very excited because she has received word of a happy event. She texts: i talked to my dad’s second cousin in toronto on good friday and he was just good newsed! Consider each of the following linguistic concepts. For each one, briefly explain what
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MPCS 51087 Problem Set 4 Machine Learning for Image Classification Winter 2023 1 Intro: Basic Curve Fitting with Gradient Descent Milestone 1 due Sunday March 5 @6pm: Prototype using High Level Langage Final Submission due Friday, March 10 @6PM 1.1 Linear Fit As warm-up, consider minimization by gradient descent in a simpler context, with a
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COMP 4446 5046 Lab02 PyTorch is an open source machine learning library used for applications such as natural language processing and computer vision. It is based on the Torch library. Before we use Pytorch it is neccessary to understand what Pytorch is. Let’s start from the core concepts: Tensor, (Computational) Graph and Automatic Differentiation A
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COMP 4446 5046 Lab3 Today we will investigate some word representation models. import pprint # For parsing our XML data from lxml import etree # For data processing import nltk nltk.download(‘punkt’) from nltk.tokenize import word_tokenize, sent_tokenize # For implementing the word2vec family of algorithms from gensim.models import Word2Vec import warnings warnings.simplefilter(action=’ignore’, category=FutureWarning) [nltk_data] Downloading package
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COMP 4446 5046 Assignment 1 2023 COMP 4446 / 5046 Assignment 1¶ Assingment 1 is an individual assessment. Please note the University’s Academic dishonesty and plagiarism policy. Submission Deadline: Friday, March 17th, 2023, 11:59pm Submit via Canvas: Your notebook Run all cells before saving the notebook, so we can see your output In this assignment,
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Project 3: CS61CPU Part A Deadline: Thursday, March 16, 11:59:59 PM PT Part B Deadline: Thursday, April 13, 11:59:59 PM PT In this project, you will be building a CPU that runs actual RISC-V instructions. Content in scope for this project: Lectures 18-23, Labs 5-6, Discussions 7-8, Homework 6. Also, make sure you’ve finished the
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GT CS 6035: Introduction to Information Security Project Machine Learning on CLAMP Learning Goals of this Project: Students will learn introductory level concepts about Data Science and Machine Learning as it can be applied to the Cybersecurity Domain. This lab develops understanding of the general data science process and commonly used python libraries like pandas
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