No more tab-hopping.

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

According to NotebookLM (@NotebookLM), their 'Intro to NotebookLM' is a featured AI-powered notebook designed to help users leverage NotebookLM's capabilities for project management and productivity.

How to model a pendulum in Python using Jupyter Notebooks. This video walks through the physics of pendulum motion and shows how to simulate it step by step with clean Python code and clear ...

What if you could create your very own personal AI assistant—one that could research, analyze, and even interact with tools—all from scratch? It might sound like a task reserved for seasoned ...

from semantic_kernel.connectors.in_memory import InMemoryStore in_memory_store = InMemoryStore() collection = in_memory_store.get_collection(record_type=SimpleModel ...

Starting from 0.11.0, we will be encouraging users to iterate through Python results using iterators (for loops instead of while loops). Related to #515, but we will only update the notebooks right ...

Everything on a computer is at its core a binary number, since computers do everything with bits that represent 0 and 1. In order to have a file that is "plain text", so human readable with minimal ...

Alex Merced is the co-author of O'Reilly's "Apache Iceberg: The Definitive Guide" and a developer advocate for Dremio ...