PyData
158K subscribers
51:56
Yuri Orshulevich - LLM-Generated Text Detection
PyData
749 views • 20 hours ago
38:31
PyData Chicago April 2024 Meetup | Learning Collective Behaviors from Observations
PyData
315 views • 1 day ago
1:10:36
Gor Hayrapetyan & Karen Javadyan - Langchain: A Framework for Building Large Language Model Apps
PyData
1.2K views • 2 weeks ago
16:29
Vector embeddings at the center of your data stack/ Daniel Svonava (Superlinked)
PyData
1.5K views • 3 weeks ago
31:05
o Bid, or not to Bid – Reinforcement Learning for Real Time Bidding / Doron Hai Reuven (Intango)
PyData
821 views • 3 weeks ago
21:46
Polars is the Pandas killer / Igor Mintz (Viz.ai)
PyData
2.4K views • 3 weeks ago
48:56
PyData Chicago March 2024 Meetup | Boosting Neuroimaging Analysis and Results Digestibility
PyData
539 views • 4 weeks ago
46:38
Nick Sorros - A Tour of Large Language Models
PyData
1.4K views • 4 weeks ago
53:40
PyData Zurich March 2024: The Utility of Transformers by François Fleuret
PyData
1K views • 1 month ago
1:16:54
PyData Granada - Meetup February 2024: IA Generativas + Clasificación de imágenes médicas (Spanish)
PyData
380 views • 1 month ago
1:03:50
PyData Chicago February 2024 Meetup | Community Science and Data Science: MicroPlants!
PyData
372 views • 1 month ago
1:01:38
Aleksei Gorin - Machine Learning Approaches in Neuroscience
PyData
837 views • 2 months ago
42:10
Nikolas Markou - Artificial Intelligence for Vision: A walkthrough of recent breakthroughs
PyData
1.2K views • 2 months ago
16:22
Giles Weaver & Ian Ozsvald - Pandas 2, Dask or Polars? Tackling larger data on a single machine
PyData
1.8K views • 2 months ago
34:05
Alexander Hendorf - ✨ FastAPI facts we wish we'd known beforehand. | PyData London 2023
PyData
1K views • 2 months ago
34:34
Antonio Campello, Lisa Carpenter - Keynote: Using data science for social good | PyData London 2023
PyData
343 views • 2 months ago
1:28:51
Ade Idowu - Hands on Intro to Developing Explainability for Recommendation Systems
PyData
709 views • 2 months ago
1:24:27
Habeeb Shopeju - Martial Arts Meets Machine Learning: Recognizing Judo Throws with MMAction2
PyData
462 views • 2 months ago
39:19
Laszlo Sragner - Code Smells in Data Science: What can we do about them? | PyData London 2023
PyData
1.2K views • 2 months ago
39:27
India Kerle, Liz Gallagher, and Jack Vines - Building a skills extraction library using NLP tools
PyData
313 views • 2 months ago
36:22
Marysia Winkels - Data Storytelling through Visualization | PyData London 2023
PyData
1K views • 2 months ago
41:10
Natan Mish - Event Driven Machine Learning | PyData London 2023
PyData
569 views • 2 months ago
1:30:43
Jim Dowling - From zero to a working ML system with Python, free serverless services + FTI pipelines
PyData
623 views • 2 months ago
1:18:57
Mate Timar - From Passive to Active: Exploring the Benefits of Active Learning in Data Science
PyData
383 views • 2 months ago
38:42
Petros Syntelis - Modelling of agent-customer pairing outcomes to optimise call centre performance
PyData
376 views • 2 months ago
34:34
Theodore Meynard - MLflow workshop | PyData London 2023
PyData
359 views • 2 months ago
39:42
Tristan West - Large scale agent-based simulations | PyData London 2023
PyData
528 views • 2 months ago
23:03
Pedro Tabacof- Deploying Real-Time Machine Learning Models Using Serverless AWS | PyData London 2023
PyData
707 views • 2 months ago
51:44
Optimizing Ad Conversions with DS / Yael Kiselman (DigitalTurbine)
PyData
1.2K views • 2 months ago
25:09
Structured output with large language models / Uri Goren (Argmax)
PyData
1.6K views • 2 months ago
Load More