Oege Dijk - Quickly Deploying Explainable Al dashboards | PyData GLobal 2020

PyData

Oege Dijk - Quickly Deploying Explainable Al dashboards | PyData GLobal 2020

4 years ago - 26:18

How You Benefit by Contributing to Open Source | PyData Global 2021

PyData

How You Benefit by Contributing to Open Source | PyData Global 2021

3 years ago - 1:07:13

Pascal Tomecek - Leveraging CSP for Live Inference | PyData Global 2024

PyData

Pascal Tomecek - Leveraging CSP for Live Inference | PyData Global 2024

1 month ago - 28:42

Eyal Gruss - Let our optima combine! | PyData Global 2024

PyData

Eyal Gruss - Let our optima combine! | PyData Global 2024

2 months ago - 29:01

AIQC; Deep Learning Experiment | PyData Global 2021

PyData

AIQC; Deep Learning Experiment | PyData Global 2021

3 years ago - 24:20

Eduardo Blancas - Rethinking Software Testing for Data Science| PyData Global 2020

PyData

Eduardo Blancas - Rethinking Software Testing for Data Science| PyData Global 2020

4 years ago - 30:10

Dix et al - Lessons Learned Building Our Own Dashboard Solution | PyData Global 2022

PyData

Dix et al - Lessons Learned Building Our Own Dashboard Solution | PyData Global 2022

2 years ago - 26:39

Cameron Davidson Pilon - A crash-update to lifelines | PyData Global 2020

PyData

Cameron Davidson Pilon - A crash-update to lifelines | PyData Global 2020

4 years ago - 5:17

Alexander Hendorf - Better Code for Data Science | PyData Global 2020

PyData

Alexander Hendorf - Better Code for Data Science | PyData Global 2020

4 years ago - 40:30

Measuring User Effort and the Impact on Business - PyData Global Conference 2024

Data Storyteller

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4 months ago - 20:25

Jesper Dramsch - How to guarantee your machine learning model| PyData Global 2020

PyData

Jesper Dramsch - How to guarantee your machine learning model| PyData Global 2020

4 years ago - 30:39

Bodo: Supercomputing-Like Performance and Scale for Python/Pandas | PyData Global 2021

PyData

Bodo: Supercomputing-Like Performance and Scale for Python/Pandas | PyData Global 2021

3 years ago - 28:32

Alejandro Herrera - Supercharging your pandas workflows with Modin | PyData Global 2022

PyData

Alejandro Herrera - Supercharging your pandas workflows with Modin | PyData Global 2022

2 years ago - 23:21

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PyData

Patrick Deziel - Putting the data science back into LLM evaluation | PyData Global 2024

1 month ago - 29:24

Jeff Hale - Better Python Coding with Prefect Blocks | PyData Global 2022

PyData

Jeff Hale - Better Python Coding with Prefect Blocks | PyData Global 2022

2 years ago - 27:32

Borar, Liu, & Shrivastava - Build Your Own Transformer | PyData Global 2024

PyData

Borar, Liu, & Shrivastava - Build Your Own Transformer | PyData Global 2024

2 months ago - 1:28:57

Lightning Talks - Day 3 Session 2 | PyData Global 2021

PyData

Lightning Talks - Day 3 Session 2 | PyData Global 2021

3 years ago - 1:14:18

Joris Van den Bossche - On copies and views: updating pandas' internals | PyData Global 2022

PyData

Joris Van den Bossche - On copies and views: updating pandas' internals | PyData Global 2022

2 years ago - 27:28

David Chapuis - Build a web app in Python | PyData Global 2022

PyData

David Chapuis - Build a web app in Python | PyData Global 2022

2 years ago - 9:06

Mike Rothenhäusler - Everything you need to know about Transformer Models | PyData Global 2022

PyData

Mike Rothenhäusler - Everything you need to know about Transformer Models | PyData Global 2022

2 years ago - 27:31

Graph Thinking - Paco Nathan | PyData Global 2021

PyData

Graph Thinking - Paco Nathan | PyData Global 2021

3 years ago - 28:49

Packaging PyData for Enterprise Software Supply Chain | PyData Global 2021

PyData

Packaging PyData for Enterprise Software Supply Chain | PyData Global 2021

3 years ago - 16:02

Computations as Assets - a New Approach to Reproducibility and Transparency | PyData Global 2021

PyData

Computations as Assets - a New Approach to Reproducibility and Transparency | PyData Global 2021

3 years ago - 26:43

Dean Pleban - ML in Production–What does “Production” even mean? | PyData Global 2022

PyData

Dean Pleban - ML in Production–What does “Production” even mean? | PyData Global 2022

2 years ago - 25:15

Law, Graphs & Python - Adam Zadrożny | PyData Global 2021

PyData

Law, Graphs & Python - Adam Zadrożny | PyData Global 2021

3 years ago - 28:07

Foundational Infrastructure to Create a Successful Data Science Team | PyData Global 2021

PyData

Foundational Infrastructure to Create a Successful Data Science Team | PyData Global 2021

3 years ago - 33:06

Ben Fowler & Chelsey Meise- OpeningTheBlackBox | PyData Global 2020

PyData

Ben Fowler & Chelsey Meise- OpeningTheBlackBox | PyData Global 2020

4 years ago - 28:32

Samuel Oranyeli - Inequality Joins in Pandas with Pyjanitor | PyData Global 2022

PyData

Samuel Oranyeli - Inequality Joins in Pandas with Pyjanitor | PyData Global 2022

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Using Reproducible Experiments To Create Better Machine Learning Models | PyData Global 2021

PyData

Using Reproducible Experiments To Create Better Machine Learning Models | PyData Global 2021

3 years ago - 29:08

Extending Jupyter Data Visualizations Beyond the Notebook - Seth Shelnutt | PyData Global 2021

PyData

Extending Jupyter Data Visualizations Beyond the Notebook - Seth Shelnutt | PyData Global 2021

3 years ago - 29:48

Dask: From POC to Production - April Rathe | PyData Global 2021

PyData

Dask: From POC to Production - April Rathe | PyData Global 2021

3 years ago - 25:48

Lu Qiu - Maximize GPU Utilization for Model Training | PyData Global 2023

PyData

Lu Qiu - Maximize GPU Utilization for Model Training | PyData Global 2023

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Manojit Nandi - Games, Algorithms, and Social Good | PyData Global 2020

PyData

Manojit Nandi - Games, Algorithms, and Social Good | PyData Global 2020

4 years ago - 29:54