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[2021] COMP5349 Cloud Computing - Main Exam S1- Q3 Spark Programming and Distributed Execution

COMP5349Cloud Computing

This question is part of the COMP5349 Cloud Computing Main Exam, S1 2021, the University of Sydney.

[2021] PSU - CMPSC 473 Operating Systems - Project4 A Simple MapReduce-Style Wordcount Application

CMPSC 473Operating SystemsThe Pennsylvania State UniversityProgramming HelpMapReduce

This project is designed to give you experience in writing multi-threaded programs by implementing a simplified MapReduce-style wordcount application.

INFS3208 Cloud Computing - Assignment Task III: Spark RDD

University of QueenslandINFS3208Cloud ComputingSpark RDDPythonJava

This assignment is to test your ability to use transformation and action operations in Spark RDD programming.

INT303 Big Data Analytics - Assignment 2: Will your employees leave

INT303Big Data AnalyticsPythonData MiningMachine LearningDecision Tree

Employee attrition has become a focus of researchers and human resources because of the effects of poor performance on organizations regardless of geography, industry, or size. The goal of the project was to predict if an employee is likely to quit from the job based on a set of data.

INT303 Big Data Analytics - Final Exam: Question 1: Big Data Conception

INT303Big Data AnalyticsHadoop

What is data science? How does it relate to and differ from statistics

INT303 Big Data Analytics - Final Exam: Question 2: Dimension Redundancy

INT303Big Data AnalyticsHadoopDimension Redundancy

Principal component analysis is a dimension- ality reduction method that projects a dataset into its most variable com- ponents.

INT303 Big Data Analytics - Final Exam: Question 3: Data Grammar

INT303Big Data AnalyticsHadoopData Grammar

What is data cleaning? State the reasons why data cleansing is critical to the big data analysis process.

INT303 Big Data Analytics - Final Exam: Question 4: Distance Measures

INT303Big Data AnalyticsHadoopDistance Measures

Calculate the following distance measures between the two vectors, v1 = [0,1,1,0,0,0,1], and v2 = [1,0,1,0,1,0,0].

INT303 Big Data Analytics - Final Exam: Question 5: MapReduce

INT303Big Data AnalyticsHadoopMapReduce

Determine whether the following statements are true or false. Please remember to justify your answers briefly.

INT303 Big Data Analytics - Final Exam: Question 6: Boosting

INT303Big Data AnalyticsHadoopBoosting

Consider training a boosting classifier using decision stumps on the following dataset plot

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