- Conference
- PyData Data science & ML
- Dates
- Jun 17, 2022 – Jun 19, 2022
- Venue
- The Tower Hotel
- Place
- London, United Kingdom
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- pydata.org
- Recorded
- 12 sponsors · 59 speaker appearances
- Notes
- First in-person PyData London since 2019 (no 2020/2021 conference is listed on london.pydata.org/conferences). Tutorial passes sold out. Speakers: all sessions in the pretalx schedule export (self-hosted pretalx, retrieved via the Wayback Machine); affiliations parsed from pretalx bios, null where not stated. Talk URLs point to the now-defunct pretalx host. Ticket prices not found.
Ticket prices
No ticket prices recorded
Sponsors 12
Platinum 4
Community 1
Speakers and talks 59
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Dr. Susan Mulcahy | Imperial College London | Keynote | Keynote Congrats on making it through the conference! And other lighthearted thoughts on conversing about data | — |
| Sylvain Corlay | QuantStack | Keynote | Possible Futures for Jupyter | — |
| Tania Allard | Quansight | Keynote | Keynote: Key Challenges in the PyData Ecosystem and How We Can All Make a Difference | — |
| Adam Klimont | — | Talk | Beyond medical image segmentation. The road towards clinical insights. | — |
| Ade Idowu | — | Tutorial | Document/sentence similarity solution using open source NLP libraries, frameworks and datasets | — |
| Adrin Jalali | Hugging Face | Talk | Measurement and Fairness: Questions and Practices to Make Algorithmic Decision Making more Fair | — |
| Afshin T. Darian | — | Talk | Make your first Jupyter open-source contribution | — |
| Ahmet Melek | — | Talk | What is X up to? - NER and Relationship Extraction for Information Extraction | — |
| Alejandro Saucedo | Seldon | Talk | Accelerating High-Performance Machine Learning with HuggingFace, Optimum & Seldon | — |
| Alexander Hendorf | — | Talk | Lessons Learned About Data & AI at Enterprises and SMEs | — |
| Anders Bogsnes | Nordea | Tutorial | SQLAlchemy and you - making SQL the best thing since sliced bread | — |
| Anindya Datta | — | Tutorial | Feature Engineering Made Simple | — |
| Asya Frumkin | — | Talk | Can you Read This? (Or: how I Improved Text Readability on the Web for the Visually Impaired) | — |
| Chady Dimachkie | — | Talk | Understanding your bank statement in 100ms | — |
| Cheuk Ting Ho | TerminusDB | Tutorial | Picking What to Watch Next - build a recommendation system | — |
| Chris Fonnesbeck | Philadelphia Phillies | Tutorial | Probabilistic Python: An Introduction to Bayesian Modeling with PyMC | — |
| Davide Frazzetto | Massive Entertainment | Talk | A Hitchhiker’s Guide to MLOps | — |
| Dillon Gardner | — | Talk | AUC is worthless: Lessons in transitioning from academic to business data science | — |
| Dr. Ilia Zintchenko | Ntropy | Talk | Understanding your bank statement in 100ms | — |
| Dr. Jonathan Kernes | — | Talk | Understanding your bank statement in 100ms | — |
| Eyal Kazin איל קאזין | — | Talk | Don't Stop 'til You Get Enough - Hypothesis Testing Stop Criterion with “Precision Is The Goal” | — |
| Franz Kiraly | — | Tutorial | sktime - python toolbox for time series: how to implement your own estimator | — |
| Gabor Bakos | Optiver | Talk | Data Pipelining for Real-time ML Models | — |
| Hanna van der Vlis | Apollo Agriculture | Talk | Clusterf*ck: A practical guide to Bayesian hierarchical modeling in Pymc3 | — |
| Ian Ozsvald | — | Talk | Executives at PyData | — |
| Ian Ozsvald | — | Talk | Building Successful Data Science Projects | — |
| James Powell | — | Talk | Why do I need to know Python? I'm a pandas user… | — |
| Jay Alammar | — | Talk | Large Language Models for Real-World Applications - A Gentle Intro | — |
| Jennifer Hall | — | Talk | Making fake data generators for open source healthcare data science projects | — |
| Jim Dowling | Hopsworks | Talk | Python-centric Feature Stores | — |
| Jon Bannister | — | Talk | Notebooker: Production and Scheduling for your Jupyter Notebooks | — |
| Juan Luis Cano Rodríguez | — | Talk | Beyond pandas: The great Python dataframe showdown | — |
| Julien Simon | Hugging Face | Talk | Machine Learning 2.0 with Hugging Face | — |
| Kajanan Sangaralingam | Mobilewalla | Tutorial | Feature Engineering Made Simple | — |
| Kishan Manani | — | Talk | Feature engineering for time series forecasting | — |
| Laszlo Sragner | — | Talk | Clean Architecture: How to structure your ML projects to reduce technical debt | — |
| Marysia Winkels | — | Talk | Models schm-odels: why you should care about Data-Centric AI | — |
| Matthew Cooper | — | Talk | Making fake data generators for open source healthcare data science projects | — |
| Mia Chang | — | Talk | Running the first automatic speech recognition (ASR) model with HuggingFace | — |
| Natan Mish | Zimmer Biomet | Tutorial | Data Validation for Data Science | — |
| Nick Radcliffe | University of Washington | Tutorial | Parallelism the Old Way: Using MPI in Python with mpi4py | — |
| Nick Sorros | — | Talk | Extreme Multilabel Classification in the Biomedical NLP domain | — |
| Orian Sharoni | — | Talk | Audio Neural Networks without Ground Truth: How to avoid humans in the loop at all costs | — |
| Pedro Tabacof | WildLife Studios | Talk | Unlocking the power of gradient-boosted trees (using LightGBM) | — |
| Pranjal Biyani | — | Tutorial | How to Stack Neural Networks together ? Ideas and Applications | — |
| Richard Pelgrim | Coiled | Tutorial | Data Science at Scale with Dask | — |
| Robin Kahlow | — | Talk | Understanding your bank statement in 100ms | — |
| Sam Morley | — | Talk | Signature methods for time series data | — |
| Sarah Diot-Girard | — | Talk | “Off with their I/Os!” - or how to contain madness by isolating your code | — |
| Simon Ward-Jones | Deliveroo | Tutorial | Introducing more of the standard library | — |
| Tambe Tabitha Achere | Social Finance UK | Talk | How Pyodide and a new opensource community are improving children’s social work. | — |
| Theodore Meynard | GetYourGuide | Talk | Test your data like you test your code | — |
| Thomas Wiecki | PyMC Labs | Talk | Solving Real-World Business Problems with Bayesian Modeling | — |
| Thusal | — | Talk | Fuzzy Matching at Scale | — |
| Tomasz Bartczak | Cydar Medical | Talk | Beyond medical image segmentation. The road towards clinical insights. | — |
| Usman Zafar | GoDataDriven | Talk | Using graph neural networks to embrace the dependency within your data | — |
| Valerio Maggio | MRC Integrative Epidemiology Unit | Talk | Rethinking Data Visualisation with PyScript | — |
| vincenzo crescimanna | — | Tutorial | Train Object Detection with small Datasets | — |
| Yizhar (Izzy) Toren | — | Talk | Testing, testing: On experimental drift and data driven product design | — |