Introducing Bloomberg’s New Quant Platform for Sell-Side – BQNT

Bloomberg has released a new product aimed specifically at the quant community. Quants and python proficient employees can ...

I've reviewed every PDF editor out there - then I had ChatGPT build me a better one

The smartest way to use AI may not be letting it interact with your files, but asking it to write software that handles them ...
note

Copying "Introduction to Data Analysis with Bayesian Statistical Modeling" in Python and PyMC - Vol. 14 Poisson Regression Model

Author of the book: Dr. Shinya BabaThis article is a Python transcription record of Chapter 8, Part 3, "Poisson Regression Model" from the book "Introduction to Data Analysis with Bayesian Statistical ...

Millions of AI agents imperiled by critical vulnerability in open source package

Millions of AI agents and tools around the world have been imperiled by a critical vulnerability that can allow hackers to breach the servers running them and make off with sensitive data and ...
leewayhertz

Bayesian networks in AI: Role in machine learning, example, types and applications

Imagine a scenario where a team of doctors faces a perplexing medical puzzle. A patient shows a range of symptoms, each pointing to multiple possible diseases. How can they navigate this diagnostic ...
IEEE

Bayesian Neural Networks via MCMC: A Python-Based Tutorial

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

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
TechCrunch

With $11.9 million in funding, Dottxt tells AI models how to answer

As we’ve reported before, enterprise CIOs are taking generative AI slow. One reason for that is AI doesn’t fit into existing software engineering workflows, because it literally doesn’t speak the same ...
GitHub

PyVBMC: Variational Bayesian Monte Carlo in Python

PyVBMC is a Python implementation of the Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference, previously implemented in MATLAB. VBMC is an approximate inference method ...