TildAlice – Tech Blog for Developers
Python, AI, Deep Learning, Data Analysis, Computer Vision, Reinforcement Learning โ tips and tutorials
Latest Posts
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Building Your First Upbit Trading Bot: Setup and Authentication
Fix Upbit JWT authentication errors before they drain your account. PyJWT version gotchas and safe testing strategies included.
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Real-Time CBM Dashboard: Pipeline with Alerts and Viz
Deploy a CBM dashboard with Flask + TimescaleDB + Slack alerts. Full pipeline from sensor stream to RUL predictions in under 200ms.
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RUL Prediction: Classical ML vs LSTM Training Guide
Random Forest beat LSTM by 12% MAE in offline testsโbut LSTMs won in streaming inference. Here's the benchmark data and when to use each.
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Feature Engineering for Predictive Maintenance: Health Indicators
Extract FFT peaks, RMS trends, and thermal gradients from vibration data for RUL predictionโfeatures that beat raw signals by 40% accuracy.
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CBM from Scratch: Sensor Data Collection and Preprocessing
Fix the 3 timestamp sync errors that ruin CBM predictions. Trigger-based logging pipeline design with sub-second precision on edge devices.
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ONNX Runtime๊ณผ TensorRT๋ก ์ปดํจํฐ๋น์ ๋ชจ๋ธ ๊ฒฝ๋ํํ๊ธฐ: Edge AI ๋ฐฐํฌ ์ค์ ๊ฐ์ด๋
Speed up YOLO inference 8x on Jetson with TensorRT INT8 quantization. ONNX conversion pitfalls and FP16 vs INT8 accuracy tradeoffs included.
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์ฝ๋ฉํ ์คํธ ์๋ฒฝ ๋๋น ๊ฐ์ด๋: ์๊ณ ๋ฆฌ์ฆ ์ ํ๋ถํฐ ๋ฌธ์ ํ์ด ์ ๋ต๊น์ง
Solve Two Sum in O(n) with hash maps instead of O(nยฒ) brute force. Compare 3 approaches with time complexity proof and LeetCode patterns.
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Model-Free vs Model-Based RL: ์ํ ํจ์จ์ฑ ๋น๊ต ๊ฐ์ด๋
Model-Free vs Model-Based RL: which needs fewer samples? Atari/MuJoCo benchmarks reveal the trade-offs you need to know before coding.