Big data - Guides d'étude, Notes de cours & Résumés

AUI3703 Assignment 2 (COMPLETE ANSWERS) Semester 1 2024 (773183)- DUE 24 April 2024 ;100% TRUSTED workings, explanations and solutions. for assistance Whats-App.......0.6.7..1.7.1..1.7.3.9 .......... QUESTION 1 15 marks Gas Ltd is a company that is responsible for refuelling empty gas bottles. Gas Ltd has operations in various parts of the country. The company conducts its business with a variety of customers from individual households and small retailers to big manufacturing companies. Gas Lt...

RSK4805 Assignment 3 (COMPLETE ANSWERS) 2024 - DUE 15 August 2024 ; 100% TRUSTED Complete, trusted solutions and explanations. For assistance, Whats-App 0.6.7-1.7.1-1.7.3.9. Ensure your success with us.. Question 1 (25 marks) 1.1 A bank estimates that its profit next year is normally distributed with a mean of 0.8% of assets and a standard deviation of 2% of assets. How much equity (as a percentage of assets) does the company need to be 99% sure that it will have positive equity at the end of t...

AIDA 181 (Latest 2023/ 2024 Update) Big Data Analytics for Risk and Insurance Exam | Questions and Verified Answers| 100% Correct| Grade A Q: Computer output simulating human reasoning best describes which one of the following? Select one: A. Artificial intelligence B. Chatbots C. Machine learning D. Deep learning Answer: A Q: Annette is a claims adjuster with Midwestern Insurance (MI). MI recently invested in and established robotic process automation (RPA) in many of its...

AIDA 181 - Big Data Analytics for Risk and Insurance Exam Prep| Questions and Verified Answers| 100% Correct (Latest 2023/ 2024 Update) Q: machine learning Answer: AI in which computers continually teach themselves to make better decisions on previous results and new data Q: Artificial intelligence Answer: compute processing/output that simulates reasoning or knowledge Q: why do tech companies use AI Answer: Tech companies use this to "Solve problems or to ...

In this summary the following papers have been discussed: Big Data in Accounting: An Overview [Vasarhelyi et al; 2015] ( A design science research methodology and its application to accounting information systems research [Guido L Geerts; 2011] ( Critical Success Factors for Data Governance: A Theory Building Approach [Alhassan et al; 2019] ( Trusted Decision-Making: Data Governance for Creating Trust in Data Science Decision Outcomes [Brous and Janssen; 2020] ( ( Continuous Auditing and Contin...

This document contains all you need to get a distinction in learning aim C with all criteria's met. Feel free to message me for any questions or if you need the excel file

This document contains all you need to get a distinction in learning aim B with all criteria's met. Feel free to message me for any questions or if you need the excel file

This document contains all you need to get a distinction in learning aim A with all criteria's met. Feel free to message me for any questions

HRM3703 Assignment 5 QUIZ (COMPLETE ANSWERS) Semester 2 2024 - DUE 11 October 2024; 100% TRUSTED Complete, trusted solutions and explanations. For assistance, Whats-App 0.6.7-1.7.1-1.7.3.9. Ensure your success with us.. Question 1 Not yet answered Marked out of 1.00 QUIZ HRSecure Ltd is integrating a new HRIS into its operations. How can HRSecure Ltd use the McCumber Cube framework toassess the security implications of this integration? Select one: by conducting regular vulnerability scan...

COS1521 Assignment 3 (COMPLETE ANSWERS) 2024 (532267) - DUE 22 July 2024 ; 100% TRUSTED Complete, trusted solutions and explanations. For assistance, Whats-App 0.6.7-1.7.1-1.7.3.9. Ensure your success with us ......... Question 1 Complete Marked out of 1.00 Question 2 Complete Marked out of 1.00 QUIZ Suppose a list contains the following elements: 27 37 7 What is the order of the elements in the list after three passes when selection sort is used? a. 27 37 71 b. 73 77 37 c. ...

The document provides a summary for the course of Big Data, containing the seven lectures covered, more precisely: Lecture 1: Introduction + Parallel Computing Lecture 2: Map-Reduce and the New Software Stack Lecture 3: Map-Reduce (continued) and Spark Lecture 4: Mining Data Streams (part 1) Lecture 5: Mining Data Streams (part 2) Lecture 6: Frequent Itemset Mining for Big Data Lecture 7: Course Recap