Abstract: A methodology for creating self-learning tutorials, including tutorials that use screen cast technology, is described in this recommended practice. Methods and practices that are applicable ...

Abstract: Machine learning draws its power from various disciplines, including computer science, cognitive science, and statistics. Although machine learning has achieved great advancements in both ...

If you had walked onto a trading floor thirty years ago, you would have heard noise before you saw anything. Phones ringing, ...

In this tutorial, we design an end-to-end, production-style analytics and modeling pipeline using Vaex to operate efficiently on millions of rows without materializing data in memory. We generate a ...

This repository contains the source material, code, and data for the book, Computational Methods for Economists using Python, by Richard W. Evans (2023). This book is ...

This is an open collection of methodologies, tools and step by step instructions to help with successful training and fine-tuning of large language models and multi-modal models and their inference.

What's great for programming pros is good enough for beginners.

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