School of Computer Science Dr. Ying Zhou COMP5349: Cloud Computing Sem. 1/2019 Assignment 2: Online Review Analysis Group Work: 20% 02.05.2019 1 Introduction Assignment 2 is a group project. In this project you will work on the online review data set released by Amazon and go through various analytic phases, including getting summary statistics, removing […]
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Final Exam 2018S Solution Written Part 1. (2 points for each) (1) A (2) B (3) A (4) C (5) D 2. (2.5 points for each) (1) A (2) C (3) C (4) B and C 3. Not good, (2 points) because it collects all data to the driver program, who then does the addition
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Question 1 1 / 1 pts Find all distinct countries. Hint: use select(), distinct() Your Answer: a= df.select(‘Country’).distinct() a.show(50,False) Question 2 1 / 1 pts Find the Name and Price of sales records in Brazil. Hint: use filter(). Your Answer: b= df.filter(df[‘Country’] == ‘Brazil’) b.select(‘Name’, ‘Price’).show() Question 3 1 / 1 pts For each country, find the total Price. Hint: Use
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Question 1 5 / 5 pts Download the adjective-noun data sets here. Load it into spark and use divide-and-conquer to find the first (adj, noun) pair in which the noun is ‘unification’. Print the corresponding adjective. The skeleton code is provided below. One solution is to use filter() to find all pairs where the noun is ‘unification’, and
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Question 1 2 pts The following piece of code computes the frequencies of the words in a text file: from operator import add lines = sc.textFile(‘README.md’) counts = lines.flatMap(lambda x: x.split()) \ .map(lambda x: (x, 1)) \ .reduceByKey(add) Add one line to find the most frequent word. Output this word and its frequency. Hint: Use sortBy(), reduce(), or
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DATA420-19S1 (C) Assignment 2 The Million Song Dataset (MSD) Due on Friday, May 31 by 5:00 PM, to be submitted as a zip file using LEARN. If you have any questions please email me (james.williams@canterbury.ac.nz). LEARN https://learn.canterbury.ac.nz/mod/assign/view.php?id=926829 Instructions • You are encouraged to work together to understand and solve each of the tasks, but you
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School of Computer Science Dr. Ying Zhou COMP5349: Cloud Computing Sem. 1/2019 Assignment 2: Online Review Analysis Group Work: 20% 02.05.2019 1 Introduction Assignment 2 is a group project. In this project you will work on the online review data set released by Amazon and go through various analytic phases, including getting summary statistics, removing
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SCC110: Software Development Term 3. Programming Project. Project Title: Moodle Submission Deadline: Assessment Mode: Aims Programming Project 16:00 Friday Week 25 IN LAB ASSESSMENT IN YOUR OWN WEEK 25 LAB SESSION In this final term of your first year, there is a single programming task – a project that is designed to bring together many
CUSP-GX-6002.001: Big Data Management & Analysis SPRING 2019 Final Challenge Problem Statement: As the problem of drug abuse intensifies in the U.S., many studies that primarily utilize social media data, such as postings on Twitter, to study drug abuse-related activities use machine learning as a powerful tool for text classification and filtering. However, given the
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Warm Up: Miscellaneous Short Problems Problem 1. (22 points): A. (3 pts) A few weeks ago Google released a paper about their Tensor Processing Unit (TPU). This specialized processor is specifically designed for accelerating machine learning computations, in particular, evaluating deep neural networks (DNNs). Give one technical reason why DNN evalu- ation is a workload