51:29

Adam Kulidjian - Crafting Impactful Dashboards for Your Clients

51:56

Yuri Orshulevich - LLM-Generated Text Detection

38:31

PyData Chicago April 2024 Meetup | Learning Collective Behaviors from Observations

01:10:36

Gor Hayrapetyan & Karen Javadyan - Langchain: A Framework for Building Large Language Model Apps

16:29

Vector embeddings at the center of your data stack/ Daniel Svonava (Superlinked)

31:05

o Bid, or not to Bid – Reinforcement Learning for Real Time Bidding / Doron Hai Reuven (Intango)

21:46

Polars is the Pandas killer / Igor Mintz (Viz.ai)

48:56

PyData Chicago March 2024 Meetup | Boosting Neuroimaging Analysis and Results Digestibility

46:38

Nick Sorros - A Tour of Large Language Models

53:40

PyData Zurich March 2024: The Utility of Transformers by François Fleuret

01:16:54

PyData Granada - Meetup February 2024: IA Generativas + Clasificación de imágenes médicas (Spanish)

01:03:50

PyData Chicago February 2024 Meetup | Community Science and Data Science: MicroPlants!

01:01:38

Aleksei Gorin - Machine Learning Approaches in Neuroscience

42:10

Nikolas Markou - Artificial Intelligence for Vision: A walkthrough of recent breakthroughs

16:22

Giles Weaver & Ian Ozsvald - Pandas 2, Dask or Polars? Tackling larger data on a single machine

34:05

Alexander Hendorf - ✨ FastAPI facts we wish we'd known beforehand. | PyData London 2023

34:34

Antonio Campello, Lisa Carpenter - Keynote: Using data science for social good | PyData London 2023

01:28:51

Ade Idowu - Hands on Intro to Developing Explainability for Recommendation Systems

01:24:27

Habeeb Shopeju - Martial Arts Meets Machine Learning: Recognizing Judo Throws with MMAction2

39:19

Laszlo Sragner - Code Smells in Data Science: What can we do about them? | PyData London 2023

39:27

India Kerle, Liz Gallagher, and Jack Vines - Building a skills extraction library using NLP tools

36:22

Marysia Winkels - Data Storytelling through Visualization | PyData London 2023

41:10

Natan Mish - Event Driven Machine Learning | PyData London 2023

01:30:43

Jim Dowling - From zero to a working ML system with Python, free serverless services + FTI pipelines

01:18:57

Mate Timar - From Passive to Active: Exploring the Benefits of Active Learning in Data Science

38:42

Petros Syntelis - Modelling of agent-customer pairing outcomes to optimise call centre performance

34:34

Theodore Meynard - MLflow workshop | PyData London 2023

39:42

Tristan West - Large scale agent-based simulations | PyData London 2023

23:03

Pedro Tabacof- Deploying Real-Time Machine Learning Models Using Serverless AWS | PyData London 2023

51:44

Optimizing Ad Conversions with DS / Yael Kiselman (DigitalTurbine)

25:09

Structured output with large language models / Uri Goren (Argmax)

21:33

Re-ranking recommendation feeds by visual appeal / Eitan Zimmerman (Argmax)

23:26

Furkan M. Torun - Become a Data Storyteller with Streamlit! [PyData Prague 2023-11-20]

45:40

Jan Soubousta - How we built a Python SDK for our (open) APIs [PyData Prague 2022-12-13]

41:56

Jiří Moravčík - The data behind the success of (not only) large language models [PyData Prague]

51:03

Martin Fleischmann - A Gentle Introduction to Spatial Data in the Pandas Ecosystem [PyData Prague]

40:23

Stefan Kahl & Josef Haupt - AI-powered bioacoustic monitoring with BirdNET [PyData Prague]

46:21

Ramona Sartipi - When Design Thinking Meets Opensource | PyData Global 2023

01:29:40

Pattaniyil, Ravi, & Zengin - Using LLMs to improve your Search Engine | PyData Global 2023

27:20

Pascal Bourgault & Trevor James Smith - Xclim: Climate Data Processing and Analysis for Everyone

01:49:27

Eswaramoorthy & Pevey- A practical guide to analysis & interactive visualization of massive datasets

02:05:11

Ramon Perez - A Roadmap for Turning Theory and Data Projects into Python Packages

20:52

Jon Wang - Xorbits Inference: Model Serving Made Easy | PyData Global 2023

22:13

David Nicholson - VocalPy: a core Python package for acoustic comms research | PyData Global 2023

27:59

Nir Barazida - Unlock the Full Potential of Jupyter Notebooks | PyData Global 2023

28:34

Arthur Andres - Unified batch and stream processing in python | PyData Global 2023

25:10

Gordon Shotwell - Understanding reactive execution in Shiny | PyData Global 2023

26:26

Mathieu Cayssol & Chris Lo- We rewrote tsfresh in Polars and why you should too | PyData Global 2023

01:29:27

Cesar Garcia - Improving Open Data Quality using Python | PyData Global 2023

01:20:42

Eddie - HPC in the cloud | PyData Global 2023

01:28:30

Hugo Bowne-Anderson - Full-stack Machine Learning and Generative AI for Data Scientists

01:26:37

Nabanita Roy- Building Contextual ChatBot using LLMs, Vector Databases & Python | PyData Global 2023

01:33:00

Lucas Durand - Building an Interactive Network Graph to Understand Communities | PyData Global 2023

01:08:30

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

01:22:15

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

01:30:16

Heidrich, Kiraly, & Ray - sktime - python toolbox for time series | PyData Global 2023

01:23:26

Olivier Grisel - Predictive survival analysis with scikit-learn, scikit-survival and lifelines

01:13:39

Ngesa Marvin - Keras (3) for the Curious and Creative | PyData Global 2023

25:32

Gatha Varma - Production Data to the Model: “Are You Getting My Drift?” | PyData Global 2023

24:05

Shagun Sodhani - Training large scale models using PyTorch | PyData Global 2023