Все публикации

0:30:50

Deep Learning Approach to Partial Differential Equations | Leah Bar, OriginAI (PyData TLV June22)

0:23:25

Fast Inference for Language Models | PyData Yerevan May 2022

0:33:58

Building an ML Factory | Adi Hirschtein, Iguazio (May 2022)

0:57:39

Bayesian Optimization and Related Sample-Efficient Methods I PyData Chicago Meetup 2022

1:24:00

Guillaume Lemaitre: Inpsect and try to interpret your scikit-learn machine-learning models

0:29:10

Janis Meyer: deepdoctection - An open source package for document intelligence

1:25:01

Tobias Sterbak: Introduction to MLOps with MLflow

0:44:05

Dr. Juan Orduz: Introduction to Uplift Modeling

0:26:22

Daniel Ringler: Sankey Plots with Python

0:30:07

Alexandra Wörner: A data scientist's guide to code reviews

1:30:28

Aleksander Molak: Practical graph neural networks in Python with TensorFlow and Spektral

1:18:09

Marysia Winkels James Hayward: (Serious) Time for Time Series

0:36:40

Lina Weichbrodt: What I learned from monitoring more than 30 Machine Learning Use Cases

0:50:30

Melissa Weber Mendonça: Beyond the basics: Contributor experience, diversity and culture in open...

0:37:17

Travis Hathaway: Processing Open Street Map Data with Python and PostgreSQL

0:30:08

Martin Christen: Creating 3D Maps using Python

0:29:31

Emeli Dral: Detecting drift: how to evaluate and explore data drift in machine learning systems

0:30:18

Tobias Hoinka: Predictive Maintenance and Anomaly Detection for Wind Energy

1:27:37

Franz Kiraly: sktime - python toolbox for time series: advanced forecasting - probabilistic, glob...

0:34:42

PyData Yerevan April 2022 Meetup | Data Standardization: The What, The Why and The How

4:56:02

SciMLCon 2022 (live)

1:42:18

PyData Triangle March 2022 Meetup

0:53:23

Python-based ML and HPC workflows in the Cloud for science and engineering I PyData Chicago 2022

0:42:49

Scale EDA & ML Workloads To Clusters & Back With Dask I PyData Chicago January 2022 Meetup