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Bayesian hierarchical time series with Prophet and PyMC3 - Matthijs Brouns | PyData Jeddah
PyData
30:13
Dean Langsam: Disease Modeling with Scipy and PyMC | PyData Warsaw 2019
1:00:29
Junpeng Lao: A Hitchhiker's Guide to designing a Bayesian library in Python | PyData Córdoba
33:47
Sean Matthews, Jannes Quer: Time series modelling with probabilistic... | PyData Berlin 2019
35:52
Darina Goldin: How strong is my opponent? Using Bayesian methods for skill... | PyData Berlin 2019
25:57
Leveraging the advantages of Bayesian Methods to build a data science product using PyMC3
29:29
Corrie Bartelheimer: A Bayesian Workflow with PyMC and ArviZ | PyData Berlin 2019
1:21:40
Junpeng Lao: Writing effective bayesian programs using TensorFlow and TFP | PyData Córdoba
1:20:25
Mitzi Morris: Bayesian Inference for Fun and Profit | PyData New York 2019
35:22
Jens Fredrik Skogstrom: What we learned by running a large custom Bayesian... | PyData NYC 2019
23:57
Chad Scherrer: Soss - Lightweight Probabilistic Programming with No Performance Ceiling | Miami 2019
30:48
MedSpace - Medical Image Analysis with Bayesian Deep Learning - Felix Laumann
30:47
Uncertainty estimation and Bayesian Neural Networks - Marcin Możejko
32:47
Two Years of Bayesian Bandits for E Commerce - Austin Rochford
1:28:55
Hierarchical Probabilistic Modelling in Real Life - Benjamin Batorsky, Matthew Moocarme, Ph.D.
43:19
Probabilistic Programming in the Real World - Zach Anglin
28:59
Peadar Coyle - A modern introduction to Hamiltonian Monte Carlo and Bayesian workflows
35:42
Bayesian Deep learning with 10% of the weights - Rob Romijnders
41:07
Bayesian Network Modeling using R and Python - Pragyansmita Nayak
41:40
Marko Vasiljevski & Raffaele Rainone - Python flying at 40,000 feet
1:22:12
Deep Probabilistic Methods with PyTorch - Chris Ormandy
37:12
Bayesian forgetting and Random Effects for forecasting TV ratings - Ruadhán Stokes
41:19
Planes, Trains, and Skateboard Shoes - Bayesian methods in engineering and product design - Jim Parr
33:38
Chaya D. Stern - Bayesian inference in computational chemistry
36:15
Eric J. Ma - An Attempt At Demystifying Bayesian Deep Learning
35:54
Bayesian A/B Testing - Marc Garcia
44:37
PyData Tel Aviv Meetup: Uncertainty in Deep Learning - Inbar Naor
25:24
PyData Tel Aviv Meetup: Probabilistic Cross Device Matching - Netta Shachar
1:44:16
Maxwell W Libbrecht - pomegranate: fast and flexible probabilistic modeling in python
36:26
Implementing and Training Predictive Customer Lifetime Value Models in Python
39:20
Andrew Rowan - Bayesian Deep Learning with Edward (and a trick using Dropout)
38:15
Stephen Whitworth - Building robust machine learning systems
35:23
Peadar Coyle: Variational Inference and Python
40:03
Iain Carmichael, Michael Kim | Open Data, Networks and the Law
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Jacob Schreiber | Pomegranate: fast and flexible probabilistic models in python
56:54
Nicole Carlson | A Quickstart Guide to PyMC3
39:15
Thomas Wiecki - Probablistic Programming Data Science with PyMC3
41:41
Marko Vasiljevski & Raffaele Rainone Flying Python at 40,000 feet
40:01
Jonathan Sedar - Hierarchical Bayesian Modelling with PyMC3 and PySTAN
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Peadar Coyle - Lies damned lies and statistics in Python
41:53
Vincent D Warmerdam - The Duct Tape of Heroes Bayesian statistics
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Ricardo Pio Monti - Modelling a text corpus using Deep Boltzmann Machines in python
33:36
Ricardo Pio Monti - Modelling a text corpus using Deep Boltzmann Machines
38:35
Vincent Warmerdam - The Duct Tape of Heroes: Bayes Rule
40:22
Mike Mull: The Art and Science of Data Matching
39:13
Timothy Hopper: Understanding Probabilistic Topic Models By Simulation
1:31:52
Peadar Coyle: Probabilistic programming in sports analytics
38:09
John Salvatier: Bayesian inference with PyMC 3
41:59
Bartek Wilczynski - Using Python to Find a Bayesian Network Describing Your Data
1:18:59
Oleksandr Pryymak - Probabilistic Data Structures & Approximate Solutions
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