All that likelihood with PyMC3

Big Data Systems Performance: The Little Shop of Horrors

Career Panel Hosted by Nakeema Stefflbauer (followed by Q&A)

CatBoost: Fast Open-Source Gradient Boosting Library For GPU

Data versioning in machine learning projects

Extending Pandas using Apache Arrow and Numba

GDPR in practise - Developing models with transparency and privacy in mind

Going Full Stack with Data Science: Using Technical Readiness Level to Guide Data Science Outcomes

How mobile.de brings Data Science to Production for a Personalized Web Experience

Industrial ML - Overview of the technologies available to build scalable machine learning

Interfacing R and Python

Keynote - Fairness and Diversity in Online Social Systems

LightFields.jl: Fast 3D image reconstruction for VR applications

Meaningful histogramming with Physt

Object detection to Instance segmentation: Learn to apply several algorithms along the way

Practical examples of interactive visualizations in JupyterLab with Pixi.js and Jupyter Widgets

Privacy-preserving Data Sharing

pyGAM: balancing interpretability and predictive power using Generalized Additive Models in Python

Simplifying Training Deep & Serving Learning Models with Big Data in Python using Tensorflow

The Face of Nanomaterials: Insightful Classification Using Deep Learning

When to go deep in Computer Vision... and how

A/B testing at Zalando: concepts and tools

AI in Healthcare

Building new NLP solutions with spaCy and Prodigy

ctparse: a practical parser for natural language time expressions in pure python

Deep Neural Networks for Double Dummy at Bridge

Extracting relevant Metrics with Spectral Clustering

Five things I learned from turning research papers into industry prototypes

How I Made My Computer Write it's First Short Story

How to scare a fish (school)

Keynote: Building in Privacy and Data Protection -- what is demanded by the GDPR?

Keynote: Hacking the Iron Curtain: From smuggling computer parts to owning the world

Launch Jupyter to the Cloud: an example of using Docker and Terraform

Let's SQL Like It's 1992!

Manifold Learning and Dimensionality Reduction for Data Visualization and Feature Engineering

On Laplacian Eigenmaps for Dimensionality Reduction

Python in Medicine: analysing data from mechanical ventilators and patient monitors

Python Unittesting for Ethereum Smart Contracts or how not to create your own Cryptocurrency

Simple diagrams of convoluted neural networks

Solving very simple substitution ciphers algorithmically

Spatial Data Analysis With Python

Towards automating machine learning: benchmarking tools for hyperparameter tuning

Understanding and Applying Self-Attention for NLP

Visual concept learning from few images

Where NLP and psychology meet

A Hands-On Introduction to Your First Data Science Project

Deep Neural Networks with PyTorch

Deploying a machine learning model to the cloud using AWS Lambda

Deprecating the state machine: building conversational AI with the Rasa stack

Leveling up your storytelling and visualization skills

Production ready Data-Science with Python and Luigi

Q&A with Elisa Celis

Q&A with Keynote Andrada Fiscutean

Q&A with Keynote Marit Hansen

Scaling and reproducing deep learning on Kubernetes with Polyaxon

Search Relevance: A/B testing to Reinforcement Learning

Tricks, tips and topics in Text Analysis

Using GANs to improve generalization in a semi-supervised setting - trying it in open datasets