Thomas Wiecki - Probablistic Programming Data Science with PyMC3

Thomas Wiecki - Probablistic Programming Data Science with PyMC3
Share:

Download MP3


Similar Tracks

Ricardo Pio Monti - Modelling a text corpus using Deep Boltzmann Machines PyData
Thomas Wiecki - Probablistic Programming Data Science with PyMC3 PyData
Probabilistic Programming and Bayesian Modeling with PyMC3 - Christopher Fonnesbeck Montreal-Python
John Salvatier: Bayesian inference with PyMC 3 PyData
MCP vs API: Simplifying AI Agent Integration with External Data IBM Technology
Probabilistic Programming in Quantitative Finance by Thomas Wiecki, PhD Quantopian
Bayesian Inference in Python by Nuo Xu PyCon Sweden
All that likelihood with PyMC3 - Junpeng Lao PyData
Headstart: Pasig City Mayor Vico Sotto on landslide reelection, accusations, plans for city | ANC ANC 24/7
MIT Introduction to Deep Learning | 6.S191 Alexander Amini
How Bayes Theorem works Brandon Rohrer
1. Introduction to Statistics MIT OpenCourseWare
Eric J Ma Bayesian Statistical Analysis with Python PyCon 2017 PyCon 2017
What is generative AI and how does it work? – The Turing Lectures with Mirella Lapata The Royal Institution
Nicole Carlson - Turning PyMC3 into scikit learn PyData
10 ML algorithms in 45 minutes | machine learning algorithms for data science | machine learning Unfold Data Science
Chris Fonnesbeck: An introduction to Markov Chain Monte Carlo using PyMC3 | PyData London 2019 PyData
Gilles Louppe | Bayesian optimization with Scikit-Optimize PyData
Stanford Webinar - Agentic AI: A Progression of Language Model Usage Stanford Online
A friendly introduction to Bayes Theorem and Hidden Markov Models Serrano.Academy