1 Rationale QBUS6840 Predictive Analytics Semester 2, 2019 Homework (15%) This assignment is designed to help students to develop basic predictive analytics skills on syn- thetic and possible real applied problems. The skills include data visualization, model building and analysis in terms of understanding the theory, practicing with raw data and programming in Python. If […]
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SIT221 Data Structures and Algorithms Trimester 2, 2019 Practical Task 6.1 (Pass Task) Submission deadline: 10:00am Monday, September 2 Discussion deadline: 10:00am Saturday, September 14 General Instructions The objective of this task is to study implementation of a Binary Heap, a data structure which is seen as a special case of a complete binary tree.
1 Rationale QBUS6840 Predictive Analytics Semester 2, 2019 Homework (15%) This assignment is designed to help students to develop basic predictive analytics skills on syn- thetic and possible real applied problems. The skills include data visualization, model building and analysis in terms of understanding the theory, practicing with raw data and programming in Python. If
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COMP2022/2922: Programming Languages, Logic and Models Assignment 1 Due: 23:59pm Sunday 15th September (end week 6) Submission details Due 23:59pm Sunday 15th September 2019. Canvas treats 23:59:01 as late. I recommend submitting earlier, as submission sites often respond more slowly close to deadlines. Late submission The late submission policy is detailed in the administrivia lecture
The University of Melbourne School of Computing and Information Systems COMP30026 Models of Computation Assignment 1, 2019 Released: 27 August. Deadline: 15 September at 23:00 Purpose To improve your understanding of propositional logic, first-order predicate logic, mechanized reasoning, and discrete mathematics. To develop skills in analysis and formal reasoning about complex concepts, and to practise
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Coursework Description Distributed Computing 2018/19 COMP51715 Module Coordinator: Dr. Rob Powell The summative assessment for this module will consist of ONE Java based project, and ONE written assign- ment. Following their successful rollout of their new comptuer system, DropFiles want to make their system more scalable to grow customer numbers. The aim of this coursework
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The University of Melbourne • COMP90056 2019s2 • Assignment A COMP90056 Stream Computing and Applications Assignment A Second (Spring) Semester 2019 Posted on LMS: Monday, 2 September 2019 Due: Monday, 16 September 2019 [07:30] Important: Each student must submit their own code and report, written individually. This Assignment contributes 10% towards your total mark for
COMP2022: Programming Languages, Logic and Models Assignment 1 Due: 23:59pm Sunday 15th September (end week 6) Submission details Due 23:59pm Sunday 15th September 2019. Canvas treats 23:59:01 as late. I recommend submitting earlier, as submission sites often respond more slowly close to deadlines. Late submission The late submission policy is detailed in the administrivia lecture
Marks: Submission Components: Submission Due: Report Submission To: Length: Anticipated Commitment: Objectives/Graduate Attributes: 20 marks (20%) Softcopy Report 6pm Sunday, 8 September 2019 UTSonline (softcopy) Approximately 2,500words (of report body) 12 hours per student 4 / A1, B6, E1, F2 This is an individual assignment 31272 PMP Assignment 1 UNIVERSITY OF TECHNOLOGY, SYDNEY 31272 Project
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UC Berkeley CS188 Intro to AI — Course Materials Home Course Schedule Lectures Homework Pacman Projects Exams Instructor’s Guide Student’s Guide More AI Courses Contact Project 5: Classification Version 1.001. Last Updated: 08/26/2014. Table of Contents Introduction Q1: Perceptron Q2: Perceptron Analysis Q3: MIRA Q4: Digit Feature Design Q5: Behavioral Cloning Q6: Pacman Feature Design