GPU-Powered ML, AI, and Quant Finance with Google Colab (1)

GPU-Powered ML, Data & Quant Finance with Google Colab — Session 1

🚀 See how a free Google Colab T4 GPU (and a paid L4 GPU) can speed up your ML, data, and quant finance workflows by 10-100x — right in your browser.

In this first session of our free 3-part webinar series, Dr. Yves J. Hilpisch walks through four ready-to-run notebooks that demonstrate dramatic GPU acceleration on common workloads.

📘 Notebooks in this session:
00 — Colab Basics: runtime info, pip install, git clone, Google Drive
01 — Hardware Accelerated ML: Random Forest, K-Means, matmul, MLP (CPU vs GPU)
02 — GPU DataFrames with cuDF: groupby, merge, rolling window on synthetic data
03 — GPU Monte Carlo for Finance: option pricing, barrier options, Greeks at GPU speed
04 — GPU Monte Carlo Calibration: fitting a Merton jump-diffusion model

⚡ Measured speed-ups on a free T4 GPU:
• Random Forest: ~18x
• K-Means: ~39x
• Monte Carlo pricing: ~76x
• Monte Carlo calibration: ~102x

🔗 Resources:
📑 Slides: https://tpq.io/tpq_colab_1.pdf
📂 Notebook repo: https://github.com/yhilpisch/colab
📈 CPF: https://cpf.tpq.io
🤖 TAE: https://theaiengineer.dev
₿ TCE: https://thecryptoengineer.dev
📊 TDS: https://thedatascientist.dev

📌 Disclaimer: This content is provided solely for illustration and educational purposes. The Python Quants GmbH is not affiliated with, endorsed by, or sponsored by Google. All numbers and specifications are indicative; always check the official Google Colab documentation for current and reliable information.

#GoogleColab #GPU #MachineLearning #QuantFinance #MonteCarlo #cuDF #RAPIDS #Python #DataScience #AIEngineering

Видео GPU-Powered ML, AI, and Quant Finance with Google Colab (1) канала The Python Quants