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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Gradient Accumulation vs Large Batch: Memory & Cost Test
Compare gradient accumulation vs large batch training in real GPU memory testsโdiscover which method saves more VRAM and when to use each approach
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PySpark Window Functions: 3 Patterns That Scale Rolling Aggs
Master PySpark window functions with 3 battle-tested patterns for rolling aggregations. Fix memory issues and scale to billions of rows.
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TFLite & ONNX Mobile Setup: 2x Speed Left on Table
Default TFLite and ONNX configs waste 2-8x performance. Here's the exact setupโdelegates, threads, quantizationโthat closes the gap on ARM devices.
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FFT vs CWT vs Wavelet Packet: CWRU Bearing Speed Test
Compare FFT, CWT, and Wavelet Packet on CWRU bearing data across speeds. Discover which method wins for fault detection under varying RPMs.
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Predictive Maintenance Python Tutorial: FFT Pipeline
Build a Python FFT pipeline for predictive maintenance with NumPy and SciPy. Detect bearing faults from vibration signals using spectral analysis.
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A/B Test False Positives: p=0.03 with 50 Users Explained
Learn why A/B tests show p=0.03 significance with just 50 users and discover what this really means for your conversion rate experiments.
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Pandas Cheat Sheet: 20 Operations CSV to Insights
Master 20 essential Pandas operations from CSV loading to insights. Complete guide with code examples for data analysis workflows.
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LSTM vs Transformer: S&P 500 1-Year Benchmark Results
LSTM vs Transformer showdown: 1-year S&P 500 predictions reveal surprising accuracy gaps. Which architecture wins for financial forecasting?