Intermediate7h 30m4 modules · 18 leçons0 inscrits

Accelerate Your Data Science Workflows

Hardware-accelerated data processing and machine learning. Same APIs (pandas, scikit-learn), faster results, zero rewrites. Essential once your data crosses 10 million rows.

Par Équipe Curriculum Nexus

59€

Accès complet · Certificat inclus

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Programme du cours

4 modules

01
Module
Foundations: profiling, memory, and vectorization
Find the real bottleneck, choose the right dataframe engine, tame memory, and eliminate Python loops — the reflexes that speed up a pipeline before any specialized hardware comes into play.
5 leçons·2h 05

Module

Accelerated compute: GPU, distribution, and out-of-core

Machine learning on GPU with cuML, hybrid CPU/GPU orchestration via Polars, scaling beyond a single machine with Dask, and streaming data larger than memory.

5 leçons·2h 05

Accelerate Your Data Science Workflows

Programme du cours

Foundations: profiling, memory, and vectorization

Accelerated compute: GPU, distribution, and out-of-core

End-to-end accelerated pipeline

From experiment to responsible production