A thank you to everyone who makes this possible:
Event: PyData Berlin 2019
Other events in this series:
A Bayesian Workflow with PyMC and ArviZ
Does hate sound the same in all languages?
Friend or Foe: Comparison of R & Python in Data Wrangling & Visualization
Interpretable Machine Learning: How to make black box...
Law, ethics and machine learning - a curious ménage...
Lessons Learned as a Product Manager in Data Science
Leveraging the advantages of Bayesian Methods to build a data science product using PyMC3
Loss Function Theory 101
Machine learning with little data - from digital twin to...
Making the complex simple in data viz
Professional Development and Career Progression for Data Scientists
Rethinking Open Source in the Era of Cloud & Machine Learning
Take control of your hearing: Accessible methods...
The Sound of Silence: Online Misogyny and How we Model It
Transforming a Legacy System into a Bias-Mitigating AI...
Tutorial: Decentralized and Privacy-Preserving ML via TensorFlow Federated
Tutorial: Managing the end-to-end machine learning lifecycle with MLFlow
Tutorial: Using machine learning for Level Generation in Snake (video-game)
Version Control for Data Science
Why you don't see many real-world applications of...
Your Name is Invalid!
10 Years of Automated Category Classification for Product Data
A Tour of JupyterLab Extensions
Active Learning with Bayesian Nonnegative Matrix Factorization...
Are you sure about that?! Uncertainty Quantification in AI
Avoiding ML FOBO
Birds of a feather flock together - Tracking pigeons with...
Current affairs, updates, and the roadmap of scikit-learn and...
Data Literacy for Managers
Detecting and Analyzing Solar Panels in Switzerland using...
Embrace uncertainty! Why to go beyond point estimators for...
Equivariance in CNNs: how generalising the weight-sharing...
Gaussian Process for Time Series Analysis
How strong is my opponent? Using Bayesian methods for skill...
How to write tests that need a lot of data?
Panel: Turn any notebook into a deployable dashboard
Should I stay or should I go? Optimal exercise decisions...
skorch: A scikit-learn compatible neural network library...
Tackle the problems that really matter - leverage...
Tools that help you get your experiments under control
Tutorial: Fairness in decision-making with AI: a practical guide & hands-on tutorial using Aequitas
Tutorial: Quantum computing with Python
Using adversarial samples to break and robustify your...
Using Overhead Video Capture to Analyse Grouping Behaviour of...
Want to have a positive social impact as a data scientist?
AI Intentions and Code Completion
Algo.Rules - How do we get the ethics into the code?
Applying deployment oriented mindset for building Machine...
Automated Feature Engineering and Selection in Python
Automating feature engineering for supervised learning?...
Creating an Interactive ML Conference Showcase
Fighting fraud: finding duplicates at scale
Hide Code, Minimize Dependencies, Boost Performance - The...
How to choose better colors for your data visualizations
Julia for Python
Kartothek - Table management for cloud object stores powered...
Play Stupid Games, Win Stupid Prizes
Practical DevOps for the busy data scientist
Privacy-preserving Machine Learning for text processing
Production-level data pipelines that make everyone happy using... | PyData Austin 2019
Time Series Anomaly Detection for Bottling Machine
Time series modelling with probabilistic...
Tutorial: Get to grips with pandas and scikit-learn
Tutorial: Hidden Markov Models for Chord Recognition - Intuition and Applications
Visualizing Interactive Graph Networks in Python
vtext: text processing in Rust with Python bindings
Where Linguistics meets Natural Language Processing
Why you should (not) train your own BERT model for...