Publications by MSDS 6372: Jacob Turner: Student: Jessica McPhaul link:
7333QTWModule2
Study Guide: Understanding Overfitting and Regularization in Machine Learning (integrating theory, mathematical foundations, and practical examples to regularization techniques to help understand their impact on overfitting in machine learning. 1. Overfitting Definition: Overfitting occurs when a model is overly tailored to the training data,...
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Dev Drive Setup
Step 1: Setting Up Development Tools on the Dev Drive You’ll need to configure your commonly used tools (like Python, VSCode, WSL, and Docker) to store their files, projects, or data on the Dev Drive. 1. Python (venv or Conda) Using venv: Open a terminal (Command Prompt or PowerShell). Create a Python virtual environment directly on the Dev...
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Jessica McPhaul GIS 7334 Fall 2024 JZ
Week 3 Learn: 3-1 Edinburgh Week 3 pptx 3-2 3-2 These have been on canvas waiting for grades since September 12 Week 4 HACK - This was turned in but you didn’t grade it correctly, overlooking the link as well as the comments. Week 4 Jessica’s Bike Survey Storymap Wheelin’ Around Dallas] Week 5 Week 5 Snow LEARN 7-1 : This was turne...
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GIS 7334 2024 J MCPhaul
Week 3 Learn: 7-1 Stormwater Week 7 Pile it on: Dallas Zoning LS0tDQp0aXRsZTogIkdJUyBGYWxsIDIwMjQwIg0KYXV0aG9yOiAiSmVzc2ljYSBNY1BoYXVsIg0Kb3V0cHV0OiBodG1sX25vdGVib29rDQotLS0NCg0KIyMgV2VlayAzDQoNCkxlYXJuOg0KDQpbNy0xIFN0b3Jtd2F0ZXJdKGh0dHBzOi8vZ2l0aHViLmNvbS90ZXhhc2NoaWtraXRhL0dJUzczMzQvYmxvYi9tYWluL1dlZWslMjA3L0plc3NpY2ElMjBfQ2FtcHVzJTIwU3Rvcm1...
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GIS7334 Fall 2024 J McPhaul
Week 3 Learn: 3-1 Edinburgh Week 3 pptx 3-2 3-2 These have been on canvas waiting for grades since September 12 Week 4 HACK - This was turned in but you didn’t grade it correctly, overlooking the link as well as the comments. Week 4 Jessica’s Bike Survey Storymap Wheelin’ Around Dallas] Week 5 Week 5 Snow LEARN 7-1 : This was turne...
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lab 3 instructions
Assignment Summary The assignment involves applying one of three analytical methods—association rule mining, clustering, or collaborative filtering—on a chosen dataset to derive actionable insights. The report must follow the CRISP-DM framework and include a thorough analysis, reproducible results, and clearly defined steps. Options for An...
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NVIDIA LIbraries
Stream Name: Texaschikkita Stream URL: https://rpubs.com/Texaschikkita Stream ID: 9962324179 Measurement Id: G-CV2648GQMK NVIDIA GPU Libraries and Tools: A Comprehensive Guide with Usage Examples This guide provides an overview and practical code snippets for NVIDIA’s GPU-accelerated libraries, focusing on their unique capabilities and usa...
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NVIDIA Libraries & Tools
Stream Name: Texaschikkita Stream URL: https://rpubs.com/Texaschikkita Stream ID: 9962324179 Measurement Id: G-CV2648GQMK Quantum Libraries: cuQUANTUM: - NVIDIA’s SDK for quantum computing simulation - Key features: 1. High-performance quantum circuit simulation 2. GPU-accelerated quantum algorithms 3. Integration with major quantum frame...
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SVD_lecture_notes_ML7331_20Nov24
Stream Name Texaschikkita Stream URL https://rpubs.com/Texaschikkita Stream ID 9962324179 Measurement Id G-CV2648GQMK Study Guide: Recommender Systems Using Singular Value Decomposition (SVD) Key Concepts Recommender Systems: Systems designed to suggest items (e.g., movies) based on user preferences or history. Example: Netflix suggesting m...
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7331_Module13_20_nov_24
7331_Module13_20_nov_24 Author J McPhaul Stream Name: Texaschikkita Stream URL: https://rpubs.com/Texaschikkita Stream ID: 9962324179 Measurement Id: G-CV2648GQMK Introduction Collaborative filtering is a powerful technique for building recommendation systems. It works by finding patterns in user behavior, such as the items they have rated ...
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