SharifiZarchi/Introduction_to_Machine_Learning
Nov 2024 – Nov 2024
1 Month active
Languages Used
LaTeX
Technical Skills
Computer VisionConvolutional Neural NetworksConvolutional Neural Networks (CNNs)Deep LearningFile ManagementMachine Learning
Ali
PROFILE
Ali
Ali Aghayari updated and finalized the CNN presentation materials for the SharifiZarchi/Introduction_to_Machine_Learning repository, focusing on the Computer Vision and Channels/Pooling chapters. He reorganized slide structures and standardized file naming conventions to enhance maintainability and improve learner navigation. Using LaTeX and leveraging his expertise in deep learning and machine learning, Ali refined the slides and PDFs through a series of iterative commits, ensuring clarity and consistency across all resources. His work prepared the materials for immediate deployment and streamlined future updates, addressing both content organization and technical presentation to support a more consistent and efficient student experience.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
1
Lines of code
3,098
Activity Months1
Your Network
21 peopleShared Repositories
21
Work History
November 2024
6 Commits • 1 Features
Nov 1, 2024November 2024: Delivered a comprehensive update to CNN presentation materials for the Introduction to Machine Learning course. Finalized slides, PDFs, and resource assets for the Computer Vision and Channels/Pooling chapters; implemented a reorganized slide structure and consistent file naming to improve maintainability and learner navigation. The update was completed with six commits that progressively refined content and assets, culminating in a finalized version ready for deployment and future updates.
6 Commits • 1 Features
Nov 1, 2024November 2024: Delivered a comprehensive update to CNN presentation materials for the Introduction to Machine Learning course. Finalized slides, PDFs, and resource assets for the Computer Vision and Channels/Pooling chapters; implemented a reorganized slide structure and consistent file naming to improve maintainability and learner navigation. The update was completed with six commits that progressively refined content and assets, culminating in a finalized version ready for deployment and future updates.
November 2024
Activity
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Quality Metrics
Correctness93.4%
Maintainability93.4%
Architecture93.4%
Performance93.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
LaTeX
Technical Skills
Computer VisionConvolutional Neural NetworksConvolutional Neural Networks (CNNs)Deep LearningFile ManagementMachine LearningPresentation Development
Repositories Contributed To
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