April 9, 2023 1 CS 449 Final Project Proposal Due: April 18, 2023 at 11:59pm 1.1 1. Names and Net IDs List your group members 1.2 2. Abstract Your abstract should be two or three sentences describing the motivation for your project and your proposed methods. For example: Our final project seeks to use a […]
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Math 5440 Course Syllabus This is a course on quantitative trading organized around the unifying topic of price impact. Price impact is a central phenomenon in trading that affects quantitative strategies over all horizons. Practitioners use price impact models in many finance applications. Quantitative traders optimize and analyze the performance of their trading algorithms using
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THE UNIVERSITY OF HONG KONG MSc in E-Commerce and Internet Computing ECOM7126 Machine Learning for Business and E-Commerce (2022-23) Assignment 3 – Customer Analysis (Unsupervised Learning) A small e-commerce company want to understand its customers better using Machine Learning to target their loyalty program and promotion campaigns etc. Analyze the dataset provided (which is purposely
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CS6601 Assignment 5 submission Assignment 5 – Expectation Maximization¶ Automatic image processing is a key component to many AI systems, including facial recognition and video compression, instance segmentation of images and point cloud data. One basic method for processing is segmentation, by which we divide an image into a fixed number of components in order
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COMP9417 – Machine Learning Homework 2: Kernel Features & Model Combinations Introduction In this homework we first take a closer look at feature maps induced by kernels. We then ex- plore a creative use of the gradient descent method introduced in homework 1. We will show that gradient descent techniques can be used to construct
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The Australian National University School of Computing Semester 1, 2023 Assignment 1 Weight: 18% COMP4670/8600: Statistical Machine Learning Release Date. 27th Feburary 2023. Due Date. 27th March 2023 at 1200 AEDT. Maximum credit. 100 Marks for COMP4670 and 120 Marks for COMP8600. For submission, we are using Ed. Check under the submission tab and make
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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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MPCS 51087 Problem Set 4 Machine Learning for Image Classification Winter 2023 1 Intro: Basic Curve Fitting with Gradient Descent Milestone 1 due Sunday March 5 @6pm: Prototype using High Level Langage Final Submission due Friday, March 10 @6PM 1.1 Linear Fit As warm-up, consider minimization by gradient descent in a simpler context, with a
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COMP 4446 5046 Lab02 PyTorch is an open source machine learning library used for applications such as natural language processing and computer vision. It is based on the Torch library. Before we use Pytorch it is neccessary to understand what Pytorch is. Let’s start from the core concepts: Tensor, (Computational) Graph and Automatic Differentiation A
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GT CS 6035: Introduction to Information Security Project Machine Learning on CLAMP Learning Goals of this Project: Students will learn introductory level concepts about Data Science and Machine Learning as it can be applied to the Cybersecurity Domain. This lab develops understanding of the general data science process and commonly used python libraries like pandas
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