Data Science Machine Learning Data Analysis

MATLAB Computer Vision Mastery - Part 4/4 (3D Vision, Motion Analysis & Final Project)

Table of Contents:
1. 3D Computer Vision Fundamentals
2. Motion Analysis & Tracking
3. Deep Learning for Computer Vision
4. Comprehensive Final Project
5. Performance Optimization & Deployment
6. Next Steps & Advanced Resources

Let's start: https://codeprogrammer.notion.site/MATLAB-Computer-Vision-Mastery-Part-4-4-3D-Vision-Motion-Analysis-Final-Project-23ccd3a4dba980acae7bdbbf974832fc

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Data Science Machine Learning Data Analysis

🌟 Vision Transformer (ViT) Tutorial – Part 1: From CNNs to Transformers – The Revolution in Computer Vision

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1.69K viewsedited 07:40

Data Science Machine Learning Data Analysis

🌟 Vision Transformer (ViT) Tutorial – Part 2: Implementing ViT from Scratch in PyTorch

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1.8K viewsedited 08:14

Data Science Machine Learning Data Analysis

🌟 Vision Transformer (ViT) Tutorial – Part 3: Pretraining, Transfer Learning & Real-World Applications

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2.12K viewsedited 08:32

Data Science Machine Learning Data Analysis

🌟 Vision Transformer (ViT) Tutorial – Part 4: Beyond Classification – DETR, Segmentation & Video Transformers

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1.86K viewsedited 05:20

Data Science Machine Learning Data Analysis

🌟 Vision Transformer (ViT) Tutorial – Part 5: Efficient Vision Transformers – MobileViT, TinyViT & Edge Deployment

Read lesson: https://hackmd.io/@husseinsheikho/vit-5

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1.84K views05:33

Data Science Machine Learning Data Analysis

🌟 Vision Transformer (ViT) Tutorial – Part 6: Vision Transformers in Production – MLOps, Monitoring & CI/CD

Learn more: https://hackmd.io/@husseinsheikho/vit-6

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1.72K views11:34

Data Science Machine Learning Data Analysis

🌟 Vision Transformer (ViT) Tutorial – Part 7: The Future of Vision Transformers – Multimodal, 3D, and Beyond

Learn: https://hackmd.io/@husseinsheikho/vit-7

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1.77K views12:36

Data Science Machine Learning Data Analysis

🔥 Master Vision Transformers with 65+ MCQs! 🔥

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Training & Optimization (Q46–Q55)
Advanced & Real-World Applications (Q56–Q65)
Answer Key & Explanations

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1.85K views04:53

Data Science Machine Learning Data Analysis

Forwarded from Python | Machine Learning | Coding | R

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Data Science Machine Learning Data Analysis

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Data Science Machine Learning Data Analysis

Forwarded from Python | Machine Learning | Coding | R

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Data Science Machine Learning Data Analysis

📘 Ultimate Guide to Graph Neural Networks (GNNs): Part 1 — Foundations of Graph Theory & Why GNNs Revolutionize AI

Duration: ~45 minutes reading time | Comprehensive beginner-to-advanced introduction

Let's start: https://hackmd.io/@husseinsheikho/GNN-1

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1.63K viewsedited 08:01

Data Science Machine Learning Data Analysis

📘 Ultimate Guide to Graph Neural Networks (GNNs): Part 2 — The Message Passing Framework: Mathematical Heart of All GNNs

Duration: ~60 minutes reading time | Comprehensive deep dive into the core mechanism powering modern GNNs

Let's study: https://hackmd.io/@husseinsheikho/GNN-2

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1.67K viewsedited 08:14

Data Science Machine Learning Data Analysis

📕 Ultimate Guide to Graph Neural Networks (GNNs): Part 3 — Advanced GNN Architectures: Transformers, Temporal Networks & Geometric Deep Learning

Duration: ~60 minutes reading time | Comprehensive deep dive into cutting-edge GNN architectures

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1.69K viewsedited 10:23

Data Science Machine Learning Data Analysis

📘 Ultimate Guide to Graph Neural Networks (GNNs): Part 4 — GNN Training Dynamics, Optimization Challenges, and Scalability Solutions

Duration: ~45 minutes reading time | Comprehensive guide to training GNNs effectively at scale

Part 4-A: https://hackmd.io/@husseinsheikho/GNN4-A

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1.68K viewsedited 12:52

Data Science Machine Learning Data Analysis

📘 Ultimate Guide to Graph Neural Networks (GNNs): Part 5 — GNN Applications Across Domains: Real-World Impact in 30 Minutes

Duration: ~30 minutes reading time | Practical guide to GNN applications with concrete ROI metrics

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1.86K viewsedited 16:04

Data Science Machine Learning Data Analysis

📘 Ultimate Guide to Graph Neural Networks (GNNs): Part 6 — Advanced Frontiers, Ethics, and Future Directions

Duration: ~50 minutes reading time | Cutting-edge insights on where GNNs are headed

Let's read: https://hackmd.io/@husseinsheikho/GNN-6

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1.88K viewsedited 20:37

Data Science Machine Learning Data Analysis

📘 Ultimate Guide to Graph Neural Networks (GNNs): Part 7 — Advanced Implementation, Multimodal Integration, and Scientific Applications

Duration: ~60 minutes reading time | Deep dive into cutting-edge GNN implementations and applications

Read: https://hackmd.io/@husseinsheikho/GNN7

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1.93K views07:41

Data Science Machine Learning Data Analysis

PyTorch Masterclass: Part 1 – Foundations of Deep Learning with PyTorch

Duration: ~120 minutes

Link: https://hackmd.io/@husseinsheikho/pytorch-1

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2.02K viewsedited 16:49

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