SharifiZarchi/Introduction_to_Machine_Learning
Oct 2025 – Dec 2025
2 Months active
Languages Used
LaTeXTeX
Technical Skills
DocumentationMachine LearningPresentation DevelopmentTechnical DocumentationTechnical WritingLaTeX
MahlaEn
PROFILE
Mahlaen
Mahla Entezari developed and enhanced LaTeX-based presentation materials for the SharifiZarchi/Introduction_to_Machine_Learning repository, focusing on deep learning topics such as AlexNet, ResNet, data preprocessing, augmentation, and transfer learning. She structured and consolidated slide decks to improve instructional clarity, introducing consistent notation and explicit variable definitions to reduce cognitive load for learners. Her work included expanding content on vanishing gradients and Jacobian-based gradient analysis, ensuring technical depth and reproducibility. Using LaTeX and TeX, Mahla emphasized modular design and documentation, resulting in well-organized, scalable course materials that support both instructor deployment and improved student comprehension in machine learning concepts.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
15Total
Bugs
0
Commits
15
Features
2
Lines of code
10,213
Activity Months2
Your Network
21 peopleShared Repositories
21
Work History
December 2025
8 Commits • 1 Features
Dec 1, 2025Month: 2025-12. Focused on delivering a concise, high-value upgrade to core course materials in the SharifiZarchi/Introduction_to_Machine_Learning repository. The work improved instructional quality for AlexNet/ResNet content and established a foundation for scalable, well-documented course materials.
8 Commits • 1 Features
Dec 1, 2025Month: 2025-12. Focused on delivering a concise, high-value upgrade to core course materials in the SharifiZarchi/Introduction_to_Machine_Learning repository. The work improved instructional quality for AlexNet/ResNet content and established a foundation for scalable, well-documented course materials.
December 2025
October 2025
7 Commits • 1 Features
Oct 1, 2025October 2025 delivery focused on creating and organizing a LaTeX-based slide deck for the Introduction to Machine Learning course, covering AlexNet and ResNet content, data preprocessing, augmentation, transfer learning, and gradient concepts with a Jacobian discussion. Completed the initial deck scaffolding across multiple commits and advanced the gradient module with three dedicated updates (Vanishing Gradient 19-21). This work enhances teaching materials, reproducibility, and student engagement, forming a solid foundation for future expansions and modular course content.
October 2025
7 Commits • 1 Features
Oct 1, 2025October 2025 delivery focused on creating and organizing a LaTeX-based slide deck for the Introduction to Machine Learning course, covering AlexNet and ResNet content, data preprocessing, augmentation, transfer learning, and gradient concepts with a Jacobian discussion. Completed the initial deck scaffolding across multiple commits and advanced the gradient module with three dedicated updates (Vanishing Gradient 19-21). This work enhances teaching materials, reproducibility, and student engagement, forming a solid foundation for future expansions and modular course content.
Activity
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Quality Metrics
Correctness92.0%
Maintainability89.4%
Architecture89.4%
Performance89.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
LaTeXTeX
Technical Skills
DocumentationLaTeXMachine LearningPresentation DevelopmentTechnical DocumentationTechnical Writingcomputer visiondata augmentationdata preprocessingdeep learningmachine learningmathematicspresentation designtransfer learning
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