SharifiZarchi/Introduction_to_Machine_Learning
Dec 2025 – Dec 2025
1 Month active
Languages Used
LaTeXTeX
Technical Skills
LaTeXcomputer visiondata visualizationdeep learningdocument preparationdocumentation
MahEn
PROFILE
Mahen
Mahla Entezari refreshed the Deep Learning slides for the SharifiZarchi/Introduction_to_Machine_Learning repository, focusing on improving both technical accuracy and learner experience. She updated explanations of vanishing gradients, Jacobian, and residual blocks, and corrected factual inaccuracies in the AlexNet and ResNet sections to align with current best practices. Using LaTeX and TeX, Mahla enhanced navigation and the table of contents for modules such as Data Preprocessing, Data Augmentation, and Transfer Learning. Her work improved content maintainability and onboarding efficiency, demonstrating depth in technical writing, documentation, and presentation design while addressing the evolving needs of machine learning education.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
1
Lines of code
4,195
Activity Months1
Your Network
21 peopleShared Repositories
21
Work History
December 2025
5 Commits • 1 Features
Dec 1, 2025Delivered a comprehensive refresh of Deep Learning slides for SharifiZarchi/Introduction_to_Machine_Learning (Dec 2025). Key updates include updated explanations of vanishing gradients, Jacobian, and residual blocks; corrected factual inaccuracies in AlexNet/ResNet sections; fixed typos; and improved navigation and table of contents for Data Preprocessing, Data Augmentation, and Transfer Learning. This enhances learner comprehension, onboarding, and content maintainability, enabling scalable course delivery.
5 Commits • 1 Features
Dec 1, 2025Delivered a comprehensive refresh of Deep Learning slides for SharifiZarchi/Introduction_to_Machine_Learning (Dec 2025). Key updates include updated explanations of vanishing gradients, Jacobian, and residual blocks; corrected factual inaccuracies in AlexNet/ResNet sections; fixed typos; and improved navigation and table of contents for Data Preprocessing, Data Augmentation, and Transfer Learning. This enhances learner comprehension, onboarding, and content maintainability, enabling scalable course delivery.
December 2025
Activity
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Quality Metrics
Correctness96.0%
Maintainability96.0%
Architecture96.0%
Performance96.0%
AI Usage24.0%
Skills & Technologies
Programming Languages
LaTeXTeX
Technical Skills
LaTeXcomputer visiondata visualizationdeep learningdocument preparationdocumentationmachine learningpresentation designpresentation skillstechnical writing
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