This article is for those whose notebook cells, which used to work in Google Colab, have started failing. According to Colab ...

This tutorial walks through an example of crawling a website (in this example, the OpenAI website), turning the crawled pages into embeddings using the Embeddings API, and then creating a basic search ...

Learn the essential data science tools every beginner should master, including Python, SQL, Pandas, Excel, visualization libraries, and cloud platforms, to build practical skills and prepare for ...

import os, sys, json, glob, subprocess, importlib def sh(cmd, capture=False): print(f"\n$ {cmd}") return subprocess.run(cmd, shell=True, text=True, capture_output ...

This tutorial shows you how to use the Azure OpenAI embeddings API to perform document search. You query a knowledge base to find the most relevant document. BillSum is a dataset of United States ...

This repository contains the courses in machine learning applied to music and other creative mediums. This course is currently given at the University of Tokyo (Japan), and along the ATIAM Masters at ...

In this tutorial, we explore Microsoft VibeVoice in Colab and build a complete hands-on workflow for both speech recognition and real-time speech synthesis. We set up the environment from scratch, ...

Registration is open for the RCS Spring 2026 Tutorials. Please also be aware that we have lots of recordings and slides available from past tutorials by RCS staff and vendors. For hands-on sessions ...

Andrej Karpathy created microGPT, a minimal GPT using only 243 lines of Python code. The project simplifies LLM architecture to basic mathematical operations without external libraries. Karpathy's ...

Learn how a data scientist uses Azure Machine Learning to train a model. In this example, you use a credit card dataset to understand how to use Azure Machine Learning for a classification problem.