Stat统计课程常用R语言, python和matlab等进行画图和数据统计分析. 统计和金融经济和机器学习等课程密切相关.
School of Mathematics and Statistics Applied Data Science (MAST30034) 2024 An End-to-End Data Science Project Due date: Monday 19th of August 11:59 pm Project Weight: 30% Author: Akira Takihara Wang, Liam Hodgkinson Project Overview This project aims to make a quantitative analysis of the New York City Taxi and Limousine Service Trip Record Data. The […]
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Coursework: High-performance computing (resit) Module: Introduction to HPC (PHYS 52015) Term: Summer 2024 Lecturer: Dr. Christopher Marcotte Submission Please submit two PDF files (part1.pdf & part2.pdf) and two code files (part1.c & part2.c) in a zip archive. Deadlines Consult the MISCADA learning and teaching handbook for submission dead- lines. Plagiarism and collusion Students suspected of
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HPC resit bad example report May 2024 Asking ChatGPT to write the report produces output similar to this: In parallelizing the code for numerically solving the logistic growth equation using OpenMP, I adopted a strategy that leveraged the parallelization capabilities of OpenMP pragmas to distribute workload efficiently across multiple threads. Firstly, I parallelized the init
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Milestone 2: [35 points] Full pipeline with hazard detection/resolving In milestone 2, you need to improve your simulator (on top of milestone 1) to simulate a more realistic five-stage CPU pipeline, without considering the cache memory system. Your testcases will be more realistic: there are just real instructions, and no bubble instructions that were inserted
Important Logistics: ENSC 254 Final Project • Some general grading logistics have been posted here: https://canvas.sfu.ca/courses /83872/pages/project-logistics. Lab computer access instructions have been posted here: https://canvas.sfu.ca/courses/83872/pages/lab-logistics • The final project weighs 25% of the final marks. It includes 100 points in total, which will be scaled to 25% of the final marks. • The final
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FINAL ASSESSMENT – SUMEDH NAKOD INTRODUCTION Starbucks has over 87,000 possible drinking combinations. It is one of the most famous multinational chains of coffee houses on the planet due to its convenience, good-tasting coffee, and widespread franchises at over 30000 locations. But have you ever pondered upon what makes up our beverage? As we know,
Introduction to statistics Models Inference Examples MTHM501- Intro to Statistics Mark Kelson, Introduction to statistics Models Inference Examples Introduction to statistics Introduction to statistics Models Inference Examples INTRODUCTION Statistics is a tool that underpins the scientific method. The truth is beyond our grasp, but knowledge grows through the gathering of evidence. Concepts are applicable almost
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2024 RMHI/ARMP Problem Set 2 Hello everyone! This is the description for the assignment, which is due on Canvas on Monday May 13, 2024 before 8:00am Melbourne time. You’ll need to submit a Word-knitted version of the completed R Markdown file found in this zip file, according to the following instructions: 1. Rename the document
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General Information for Candidates This project has 7 tasks numbered 1 through 7. The points for each task are indicated at the beginning of the task. Each task pertains to the business problem and related data files and data dictionary. An .Rmd file with some initial data work. Unless otherwise specified, each task builds upon
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Introduction SuperLearner and LTMLE # Install packages if (!require(“pacman”)) install.packages(“pacman”) pacman::p_load(# Tidyverse packages including dplyr and ggplot2 tidyverse, set.seed(44) SuperLearner, tidymodels, For our final lab, we will be looking at the SuperLearner library, as well as the Targeted Maximum Likelihood Estimation (TMLE) framework, with an extension to longitudinal data structures. This lab brings together a
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