📊 Optimization

Gradient Descent, Convex Optimization, Stochastic Methods, Loss Functions

Database Caching: Optimizing Performance and Scalability
solarwinds.com·5h·
Discuss: DEV
💾Cache Design
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From SEO Playbooks to Geo Architectures
patreon.com·31m·
Discuss: Hacker News
🏗️Information Architecture
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Parametric vs Non-Parametric Tests: A Beginner's Guide
dev.to·5h·
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📊Data Science
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Crushing IR-Drop: How Smart Software is Revolutionizing AI Hardware Performance
dev.to·19h·
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⚡Hardware Acceleration
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Longitudinal Pediatric Cancer Survivorship: AI-Driven Predictive Health Trajectory Modeling & Personalized Intervention
dev.to·14h·
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🧠Machine Learning
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Title: A Tale of Two Transformers: Evaluating the Efficacy o
dev.to·21h·
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🤖Transformers
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NumPy Array Operations Challenge: Master Indexing, Slicing, and Binary Operations (3 Hands-On Labs)
dev.to·23h·
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🔢NumPy
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The Evolution and Future of AI Development
dev.to·1d·
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🛡️AI Security
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Dynamic Model Selection for Trajectory Prediction via Pairwise Ranking and Meta-Features
arxiv.org·5d
🧠Machine Learning
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Weekly #45-2025: PHP Tricks, LLM Collaboration, SQL Speedups, and the Future of Web Payments
dev.to·8h·
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💰TigerBeetle
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AI Autopilot for AI: Dynamically Scaling Neural Nets on Edge Devices
dev.to·1d·
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📱Edge AI
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**Bio-Lubricant Additive Optimization via Multi-Modal Data Fusion & Reinforcement Learning**
dev.to·1d·
Discuss: DEV
📊Dynamic Programming
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Decoupled Entropy Minimization
arxiv.org·3d
📊Information Theory
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Performance Optimization for JS
dev.to·1d·
Discuss: DEV
🚀Web Performance
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Noise Injection: Improving Out-of-Distribution Generalization for Limited Size Datasets
arxiv.org·2d
👁️Computer Vision
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💻 *10 Essential Coding Tips for Beginners* 🖥️✨
dev.to·6h·
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📚Technical Writing
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Probabilistic Textual Time Series Depression Detection
arxiv.org·2d
⏱️Time Series Analysis
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Predictive Microbial Competition Modeling via Multi-Scale Agent-Based Simulations & Bayesian Optimization
dev.to·1d·
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🧬Computational Biology
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Physics-Aware Neural Networks: Banishing Simulation Ghosts by Arvind Sundararajan
dev.to·2d·
Discuss: DEV
🔥PyTorch
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Show HN: PyNIFE. 400-900× speedup for embedding-based retrieval pipelines
github.com·11h·
Discuss: Hacker News
🧮Vector Databases
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