Auto-encoders in the wild... of telco land.

Be good (and don't be evil): how to audit your work for fairness and inclusion

Big Data Oceanography

Data Deduplication using Locality Sensitive Hashing

Databases for Data Science

Do tyres dream of electric clouds?

How will the new EU data protection laws affect your work?

JupyterHub from the Ground Up with Kubernetes

Keynote: Artistic Applications of Artificial Intelligence

Keynote: Learning programming and science with Scientific Python

Multi-touch Attribution: What am I training for ?

Planes, Trains, and Skateboard Shoes - Bayesian methods in engineering and product design

PyData London 2018 Lightning Talks - Day 2

Reliably forecasting time-series in real-time

RNN sequence labeling for document parsing in Tensorflow

Searching for Shady Patterns: Shining a light on UK corporate ownership

Unsupervised Anomaly Detection with Isolation Forest

Using Survival Analysis to understand customer retention

Visualising NLP pipelines with Pynorama

Who's singing? Automatic bird sound recognition with machine learning

A Data Science Approach to Systemic Risk

A/B Testing with Style

Beyond word2vec: GloVe, fastText, StarSpace.

CatBoost - the new generation of gradient boosting

Creating correct and capable classifiers

Data, Science: Investigating 1 Million Galaxies with Humans and TensorFlow

Demystifying pandas internals

Emphasising Relationships in the BBC's Data Using Technologies of the Semantic Web

Evaluating fairness in machine learning with PyMC3

Keynote: Democratising data journalism: building a collaborative and investigative network across the UK

Keynote: Making the Big Data ecosystem work together with Python: Apache Arrow, Spark, Beam, and Dask

More About Generators

PyData London 2018 Lightning Talks - Day 1

Python at Massive Scale

Python Doesn’t Have to Be Slow: Speeding Up a Large-Scale Optimization Algorithm

Sentence embeddings for automated factchecking

Stationary data? Forget about it! Bayesian forgetting and Random Effects for forecasting TV ratings

Touchdown Localisation with aircraft flight data

Why giving your algorithm ALL THE FEATURES does not always work.

Winning with Simple, even Linear, Models

Anomaly Detection

Apache Airflow in the Cloud: Programmatically orchestrating workloads with Python

Automatic tagging of short texts with scikit-learn and NLTK

Computer Vision: An (Un?)Expected Journey, with Keras and Tensorflow

Deep Probabilistic Methods with PyTorch

Follow the gradient: an introduction to mathematical optimisation

Hypothesis Testing with SciPy

Making computation easier with cool Numpy tricks

Network Science, Game of Thrones and US Airports

Test-Driven Data Analysis

Understanding and diagnosing your machine-learning models