About 25 results for "UCOjD18EJYcsBog4IozkF_7w"

Featured Results

PT32M15S

Yoav Goldberg: A New Kind of Learning Systems (HE) | PyData Tel Aviv 2025

PyDataDec 4, 2025

PT21M40S

Maria Murashova: Integrating LLMs with Traditional Data Analysis | PyData Tel Aviv 2025

PyDataDec 4, 2025

Docling: Get your documents ready for gen AI

PyDataNov 27, 2025

PT35M28S

Irene Donato & Antonino Ingargiola - Large-Scale Video Intelligence | PyData Amsterdam 2025

PyDataOct 28, 2025

PT28M56S

How Narwhals is silently bringing pandas, Polars, DuckDB, PyArrow, and more together

PyDataOct 18, 2025

PT45M20S

Lessons learned in bringing a RAG chatbot with access to 50k+ diverse documents to production

PyDataOct 5, 2025

PT42M4S

James Powell - Are generator-coroutines really the answer? | PyData London 2024

PyDataDec 19, 2024

5.9k

Juan Orduz - Time Series forecasting with NumPyro | PyData Amsterdam 2024

PyDataDec 19, 2024

PT1H22M15S

Matt Harrison - An Introduction to Pandas 2, Polars, and DuckDB | PyData Global 2023

PyDataSep 6, 2024

2.4k

PT1H8M30S

Francesc Alted - Btune: Making Compression Better | PyData Global 2023

PyDataSep 6, 2024

PT1H25M2S

Dr. Adam Hill - Empower Your Projects with Prefect's Pipeline Magic | PyData London 2024

PyDataJun 21, 2024

2k

PT34M42S

Jim Dowling - Function Calling for LLMs | PyData London 2024

PyDataJun 21, 2024

PT59M20S

Keynote: Hadley Wickham - Embracing multi-lingual data science | PyData Global 2022

PyDataFeb 23, 2023

2.7k

PT2H1M26S

So You Wanna Be a Pandas Expert? (Tutorial) - James Powell | PyData Global 2021

PyDataDec 19, 2022

23k

Kishan Manani - Feature Engineering for Time Series Forecasting | PyData London 2022

PyDataDec 19, 2022

PT35M49S

Hanna van der Vlis - Clusterf*ck: A Practical Guide to Bayesian Hierarchical Modeling in PyMC3

PyDataDec 19, 2022

15k

PT1H25M1S

Tobias Sterbak: Introduction to MLOps with MLflow

PyDataMay 15, 2022

6.1k

PT28M16S

Darts for Time Series Forecasting - Julien Herzen, Francesco Lässig | PyData Global 2021

PyDataJan 19, 2022

4.7k

PT35M21S

James Powell: What You Got Is What You Got | PyData LA 2019

PyDataDec 30, 2019

7.3k

Michael Bronstein - Geometric deep learning on graphs: going beyond Euclidean data

PyDataDec 13, 2019

PT1H28M17S

Anna Veronika Dorogush: Mastering gradient boosting with CatBoost | PyData London 2019

PyDataJul 18, 2019

57k

PT1H30M10S

Chris Fonnesbeck: An introduction to Markov Chain Monte Carlo using PyMC3 | PyData London 2019

PyDataJul 18, 2019

25k

PT36M52S

Vincent Warmerdam: How to Constrain Artificial Stupidity | PyData London 2019

PyDataJul 18, 2019

21k

PT39M47S

Data Deduplication using Locality Sensitive Hashing - Matti Lyra

PyDataDec 19, 2018

9k

PT32M56S

Maciej Kula | Neural Networks for Recommender Systems

PyDataApr 25, 2017

21k