| Agata Sumowska |
Text annotation role playing workshop (Interactive workshop for unconference)
|
| Ajay Thampi |
Interpretable AI or How I Learned to Stop Worrying and Trust AI
|
| Alejandro Saucedo |
A practical guide towards algorithmic bias and explainability in machine learning
|
| Alla Maher |
Kafka in Finance: processing >1 Billion market data messages a day
|
| Anna Schneider |
Just ask: designing intent-driven algos
|
| Anna Veronika Dorogush |
Mastering Gradient Boosting with CatBoost
|
| Bertil Hatt |
AB-testing by clusters
|
| Bhargav Srinivasa Desikan |
Text annotation role playing workshop (Interactive workshop for unconference)
|
| Cheuk Ting Ho |
I am telling you 3 things about Chatbot (so you don't have to learn it the hard way)
|
| Chie Hayashida |
Understanding of distributed processing in Python
|
| Chris Fonnesbeck |
An Introduction to Markov chain Monte Carlo using PyMC3
|
| Christopher Samiullah |
Testing and Validating Machine Learning Models when Deploying to Production
|
| Connor Tann |
Modelling the subsurface with gamma rays and machine learning
|
| Dr Egor Kraev |
Choosing the right neural generative model for your problem
|
| Eddie Bell |
Weak supervision: a new paradigm for unreliable labels
|
| Elena Sharova |
How to Validate Your Client Churn Model
|
| Elina Naydenova |
Bridging health inequalities through machine learning
|
| Eric Drass aka shardcore |
The anatomy of a #deepfake
|
| Fabian Krause |
Quantamental Investing - the future of finance
|
| Filip Ter |
Data Analysis in Parallel
|
| George Cushen |
Knowledge graphs --enter--> the Hype Cycle
|
| Gianluca Campanella |
The unreasonable effectiveness of feature hashing
|
| Guillermo Barquero |
Productionising Data Science at Scale
|
| Harrison Pim |
Image search without image captions
|
| Ian Ozsvald |
A gentle introduction to Pandas timeseries and Seaborn,
Executives at PyData
|
| Igor Gotlibovych |
Deep Learning and Time Series Forecasting for Smarter Energy
|
| Imran Rashid |
Training intelligent game agents using deep reinforcement learning
|
| Irene Iriarte Carretero |
Data Science for Dinner: Recommending Recipes
|
| Jake Coltman |
What Failure Taught Me About Building High-Stakes Models That Actually Work
|
| James Powell |
Because You Can Run, You Can't Hide: Some Musings on API Design,
Executives at PyData
|
| Jan Freyberg |
Active learning in the interactive python environment
|
| Jeffrey Hsu |
A Deep Dive into NLP with PyTorch
|
| João Martins |
AB-testing by clusters
|
| John Sandall |
Democracy Hackathon
|
| Jonathan Fernandes |
Fundamentals of image classification using PyTorch
|
| Jonny Brooks-Bartlett |
You got served: How Deliveroo improved the ranking of restaurants
|
| Jon Tutcher |
Data Science Frameworks and Managed Services: When to Avoid the Shiny New Toys
|
| Jovan Veljanoski |
Modern Data Science: A new approach to DataFrames and pipelines
|
| Karol Grzegorczyk |
Embeddings! Embeddings everywhere! - How to build a recommender system using representation learning
|
| Kevin Lemagnen |
Maintainable Code in Data Science,
Advanced Software Testing for Data Scientists
|
| Kirstie Whitaker |
The Turing Way: A how to guide for reproducible research
|
| Lev Konstantinovskiy |
Text annotation role playing workshop (Interactive workshop for unconference)
|
| Liam Kirwin |
How am I going to deal with all of these cats?
|
| Lorena A. Barba |
One step forward, two steps back: the frustration of diversity efforts in STEM
|
| Lynn Cherny |
Goofing Off with Fun (Big) Data
|
| Maarten Breddels |
Modern Data Science: A new approach to DataFrames and pipelines
|
| Maciej Arciuch |
Embeddings! Embeddings everywhere! - How to build a recommender system using representation learning
|
| Mahan Hosseinzadeh |
Prophet at Scale: Using Prophet at scale to tune and forecast time series at Spotify
|
| Maria Navarro |
How good is your prediction? - Quantifying uncertainty in Machine Learning predictions
|
| Mario Bonamigo |
Data science and Internet of Things on the edge
|
| Mark Farragher |
On the Path to Causal Inference
|
| Matthew Hertz |
Kafka in Finance: processing >1 Billion market data messages a day
|
| Michael Sugimura |
Combining Computer Vision and NLP for Multi-Task Fashion Attribute Modeling at Shoprunner
|
| Michał Łopuszyński |
Text annotation role playing workshop (Interactive workshop for unconference)
|
| Michal Mucha |
Build and Deploy an End-to-end Streaming NLP Insights System
|
| Omer Yuksel |
Understanding exchange network dynamics with Python
|
| Patrick Gonzalez |
From healthcare.hospital import datascience
|
| Pavlos Papaconstadopoulos |
From healthcare.hospital import datascience
|
| Raoul-Gabriel Urma |
Advanced Software Testing for Data Scientists
|
| Richard Chadwick |
Democracy Hackathon
|
| Ruben van de Geer |
A Primer (or Refresher) On Linear Algebra for Data Science
|
| Soledad Galli |
Testing and Validating Machine Learning Models when Deploying to Production
|
| Susannah Klanecek |
A Deep Dive into NLP with PyTorch
|
| Trevor Sidery |
Productionising Data Science at Scale
|
| Vincent Warmerdam |
How to Constrain Artificial Stupidity.
|
| w4rner |
Text annotation role playing workshop (Interactive workshop for unconference)
|
| Zack Akil |
Safer Cycling with an Edge TPU watching your back
|
