A thank you to everyone who has made this possible:
Event: PyData Berlin 2017
Other events in this series:
A word is worth a thousand pictures: Convolutional methods for text
Advanced Metaphors in Coding with Python
AI assisted creativity
Analysing user comments with Doc2Vec and Machine Learning classification
Are many of your worries about AI wrong?
Best Practices for Debugging
Biases are bugs: algorithm fairness and machine learning ethics
Blockchains for Artificial Intelligence
Building smart IoT applications with Python and Spark
Clean Code in Jupyter notebooks, using Python
Compositional distributional semantics for modelling natural language
Conversational AI: Building clever chatbots
Data Science & Data Visualization in Python. How to harness power of Python for social good?
Data Science for Digital Humanities: Extracting meaning from Images and Text
Deep Learning for detection on a phone
Developments in Test-Driven Data Analysis
Engage the Hyper-Python
Ethics in Machine Learning Panel
Evaluating Topic Models
Fairness and transparency in machine learning: Tools and techniques
Fast Multidimensional Signal Processing using Julia with Shearlab.jl
Finding Lane Lines for Self Driving Cars
Gold standard data: lessons from the trenches
Introduction to Data-Analysis with Pandas
Introduction to Julia for Scientific Computing and Data Science
Introduction to Machine Learning with H2O and Python
Introduction to Search
Introductory tutorial on data exploration and statistical models
Is That a Duplicate Quora Question?
Kickstarting projects with Cookiecutter
Large Scale Vandalism Detection in Knowledge Bases
Leveling up your Jupyter notebook skills
Machine Learning to moderate ads in real world classified's business
Natural Language Processing: Challenges and Next Frontiers
On Bandits, Bayes, and swipes: gamification of search
Open Data Use Cases
Pandas from the Inside / "Big Pandas"
Patsy: The Lingua Franca to and from R
Patterns for Collaboration between Data Scientists And Software Engineers
Polynomial Chaos: A technique for modeling uncertainty
Semi-Supervised Bootstrapping of Relationship Extractors
Social Networks and Protest Participation: Evidence from 130 Million Twitter Users
Spying on my Network for a Day: Data Analysis for Networks
Text similiarity with the next generation of word embeddings in Gensim
The Future of Cybersecurity Needs You, Here is Why.
The path between developing and serving machine learning models.
TNaaS - Tech Names as a Service
Topic Modelling (and more) with NLP framework Gensim
Towards Pythonic Innovation in Recommender Systems
Where are we looking? Predicting human gaze using deep networks.
“Which car fits my life?” - mobile.de’s approach to recommendations