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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Digital Twin Hype vs Reality: Why Simple FFT Often Wins
A $50K digital twin missed a bearing fault that a $200 FFT setup caught instantly. Here's when physics-based models actually help vs marketing hype.
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Speculative Decoding vs MoE: 3.2x Cost Gap on Llama 3
Compare Speculative Decoding vs MoE on Llama 3. Discover why one costs 3.2x more and which inference optimization truly delivers better value.
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FFT Vibration Analysis on Real Bearing Data: Python Setup
Learn FFT vibration analysis on real bearing data with Python. Step-by-step setup using NumPy, SciPy, and Matplotlib for predictive maintenance.
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Yahoo Finance vs Google vs Seeking Alpha: Portfolio App Test
Yahoo vs Google vs Seeking Alpha portfolio apps tested on 15 stocks. Real data sync delays, international stock gaps, dividend tracking comparison.
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ARIMA vs Prophet: KOSPI 30-Day Forecast Test Results
Prophet's MAE beat ARIMA by 1% on KOSPI โ but directional accuracy was 7% worse. Here's why error metrics lie and which model actually works for trading.
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On-Policy vs Off-Policy RL: PPO vs SAC on 5 Gymnasium Tasks
Compare PPO and SAC on 5 Gymnasium tasks. Discover which RL algorithm wins in sample efficiency, stability, and performance across environments.
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SAM 2 Segmentation 3x Slower Than SAM? Fix Pipeline
SAM 2 slower than SAM? Discover why the new model lags and proven fixes to optimize your segmentation pipeline for 3x speed boost.
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Pandas read_csv MemoryError Fix: Chunking vs Dask vs Polars
Fix Pandas MemoryError when reading large CSVs using chunking, Dask, or Polars. Compare memory usage and choose the best solution for your data.