TildAlice – Tech Blog for Developers
Python, AI, Deep Learning, Data Analysis, Computer Vision, Reinforcement Learning โ tips and tutorials
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SAM๊ณผ DINOv2๋ก ๋ผ๋ฒจ ์์ด ์์ํ๋ Zero-Shot Semantic Segmentation ์ค์ ๊ฐ์ด๋
SAM + DINOv2 semantic segmentation with zero labeled images: 81% mIoU on custom industrial datasets. Step-by-step implementation guide.
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YOLO v8๋ถํฐ v11๊น์ง ์ฑ๋ฅ ๋ฒค์น๋งํฌ: ์ค์๊ฐ ๊ฐ์ฒด ํ์ง ๋ชจ๋ธ ์ ํ ๊ฐ์ด๋
YOLOv8 vs v11: real-world FPS and mAP benchmarks on edge devices. See which version actually wins for your hardware.
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Feature Engineering ์๋ํ: Featuretools๋ก 10๋ฐฐ ํจ์จ
Featuretools vs AutoFeat: generate 100+ features in 5 minutes instead of 2 hours. Benchmark results from 3 real datasets.
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Python์ผ๋ก A/B ํ ์คํธ ๋ถ์ํ๊ธฐ: t-๊ฒ์ ๋ถํฐ ๋ฒ ์ด์ง์ ์ถ๋ก ๊น์ง ํต๊ณ์ ์ ์์ฑ ๊ฒ์ฆ ์๋ฒฝ ๊ฐ์ด๋
A/B test statistical significance in Python: t-test, chi-square, and Bayesian methods with actual conversion data examples.
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Offline RL ์ ๋ณต: CQL, IQL, Decision Transformer ๋น๊ต
Offline RL showdown: CQL vs IQL vs Decision Transformer on D4RL benchmarks. Train agents without environment interaction.
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MoE ์ํคํ ์ฒ: Mixtral๋ถํฐ DeepSeek-MoE๊น์ง ์์ ๋ถ์
MoE architecture explained: how Mixtral and DeepSeek-MoE achieve 8x parameters with 2x compute. Implementation guide included.
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Wavelet Transform vs STFT: ๋ฒ ์ด๋ง ๊ณ ์ฅ ์ง๋จ์ ์ํ ์ต์ ์ ์๊ฐ-์ฃผํ์ ๋ถ์ ๊ธฐ๋ฒ ๋น๊ต
Wavelet vs STFT for bearing fault detection: frequency resolution comparison on 10,000 vibration signals. Clear winner emerges.
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์๊ณ์ด ๋ฐ์ดํฐ ๊ฒฐ์ธก์น ์ฒ๋ฆฌ ์๋ฒฝ ๊ฐ์ด๋: Forward Fill๋ถํฐ ARIMA ๋ณด๊ฐ๊น์ง ์ค์ ๋น๊ต
Time series missing data: compare 6 imputation methods (forward fill to ARIMA) with MAE scores on sensor datasets.