City University of Hong Kong Department of Economics and Finance Course EF5213 Assignment #3 ( due March 19, 2023 ) 1. Consider the MVO problem that determines the optimal portfolio content w and w0 by minimizing the portfolio risk as minimize 1 wT w 2 subject to wT w0 0 p , uTw […]
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Marking guidance for COMP3931 and COMP3932 Criterion % Notes and examples Background Research • Problem and context explained at a level suitable for non-experts. • Evidence of a systematic and scholarly approach to background re- search and relevant literature review. • Critical analysis of existing solutions and techniques. Depending on the nature of the project,
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Leeds Thesis Template Final ReportSchool of Computing Faculty of Engineering AND PHYSICAL SCIENCES Submitted in accordance with the requirements for the degree of (e.g. BSc Computer Science) (e.g. 2021/22) (e.g. COMP3931 Individual Project) The candidate confirms that the following have been submitted: Recipient(s) and Date Final Report Uploaded to Minerva (DD/MM/YY) Scanned participant consent forms
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Lab 03: Embedded Deep Learning¶ In this lab session, we will optimize the deep learning model that was trained in the last session. Later we will put the quantized model to the ESP32 MCU. The first half session can be run on google colab. Open in google colab -> But the latter part must be
Lab 02: Image Recognition¶ In this lab session, we will use the gesture classification task as an example to demonstrate how to process image data with deep learning networks. This lab session includes: Dataset preparation Downloading Analysis and visualization Data augmentation CNN model building From scratch Transfer learning Training process Early Stopping Understanding the learning
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Lab 01: First Steps with AI Programming¶ In this lab session, we will guide you to start AI programming. This lab session includes: Google Colab introduction Programming with TensorFlow Keras Creating models Creating custom dataset Data augmentation Train/evaluate/test model Result analysis and visulization Open in google colab -> Set up TensorFlow¶ Import TensorFlow into your
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PROG2005 – Programming Mobile Systems Assignment 1 (T1 2023) This assignment is due on Week 4, Monday, 27 March 2023, 11:59 pm, and is worth 40% of your overall mark. You should work on this assignment individually (This is NOT a group assignment). You must submit your source code as one ZIP archive containing both
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Business Case Analysis: Airbnb Customer Host Matching Study Airbnb is a two-sided marketplace that matches guests to hosts. The booking flow at Airbnb is as follows: a guest finds an available room (listing) that they like online, and then they contact the host. Once the guest finds a listing they are interested in, there are
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Advanced Linear Algebra for Computing Numerical Analysis: Linear Algebra Spring 2021 Name: EID: This is an open notes exam. You are allowed to consult external re- sources. Please acknowledge the following (initial each) I will not and have not consulted any individuals (other than course sta↵) regarding this exam. The answers to this exam are
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Math 191 Wilkening Spring 2023 Homework 2 due Sat, Feb. 4, 2:00 PM (Upload your solutions to Gradescope) 1. (6points)Findtherealnumbersxj intherange0