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Study mode:
on
1
intro
2
preamble
3
key takeaways
4
the story
5
how to scale it?
6
pipeline
7
the bottleneck
8
wasm
9
simple yet powerful
10
polars
11
torment of wasm
12
deux ex machina - demo
13
final remarks
Description:
Explore time-series forecasting techniques using Polars and Deno in this conference talk from Conf42 ML 2024. Delve into key takeaways, scaling strategies, and pipeline optimization for handling large datasets. Learn about WebAssembly (WASM) implementation, the power of simple solutions, and the advantages of using Polars for data manipulation. Watch a live demonstration showcasing the integration of these technologies, and gain insights into overcoming WASM-related challenges. Conclude with final remarks on the potential of this approach for efficient time-series analysis and prediction.

Forecasting Time-Series with Polars and Deno

Conf42
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