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Engineering Understanding

Lena Tries
To Understand

Interactive notes on AI, ML, data, systems, and the beautiful things behind them.

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Time Series

Playing with a Hybrid Architecture for Forecasting

How VSN, TCN, LSTM, multi-head attention, N-BEATS heads, and future-covariate branches actually compose into one forecaster — assembled block by block, with each piece you can click on or off.

hybrid.assemble VSN ▸ TCN ▸ LSTM ▸ MHA ▸ heads → ŷ
Past in VSN TCN LSTM MHA trend · season · resid Future- known Seasonal head Event branch + ŷ
lstm deep-learning tft n-beats
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Storage and Streaming

Storage formats, streaming, object stores, relational databases.

4 chapters Read

Time Series

Data preparation, forecasting models, deep learning, foundation models, evaluation, maintenance.

8 chapters Read