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Event: PyData London 2017
Other events in this series:
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2018
2019
An Algorithm of Style
Analyzing 3D objects with power of Deep Learning and Cython
Astrophysics to data Science: how the Milky Way is like my company.
Bayesian Deep Learning with Edward (and a trick using Dropout)
Building robust machine learning systems
Dimension Reduction and Extracting Topics - A Gentle Introduction
Efficient and portable DataFrame storage with Apache Parquet
Extracting Insight From A Muslim Marriage App
Forecasting social inequality using agent-based modelling
Interactively Analyse 100GB of Data using Spark, Amazon EMR and Zeppelin
Is having dementia linked to where you live?
KEYNOTE: Data for good: Lessons from the frontline
Leveraging recommender systems to personalise search results
Lightning Talks - Sunday
"Lights, camera, AI!" - Automated sports videography
Next generation of word embeddings in Gensim
Outlier detection methods for detecting cheaters in mobile gaming
Ranking hotel images using deep learning
Recommender systems with Tensorflow
Smelly London: visualising historical smells through text-mining, geo-referencing and mapping.
WTF am I doing? An introduction to NLP and ANN's
A beginner's guide to data analysis in cosmology using Jupyter Notebook
❤ Analyzing the ElectroCardioGram (ECG) and classifying what's healthy and what's not.
Bayesian optimisation with scikit-learn
Diversity and Data: Cases in the Music Industry
High-Performance Distributed Tensorflow: Request Batching and Model Post-Processing Optimizations
How distributed representations make chatbots work (at least a bit)
Journeys through JuPyteR
Julia: A Fresh Approach to Machine Learning
KEYNOTE: Automated factchecking in the era of fake news
KEYNOTE: Picasso's terminal; data science and AI in the visual arts
Lightning Talks - Saturday
Machine Learning in Financial Credit Risk Assessment
Machine learning with ventilator data to improve reporting on critically ill newborn infants
Pythonic Polling Analysis and Comments on 2016's Polling Surprises
SaaaS - Sampling as an Algorithm Service
Scale out from the very beginning
Show me the failures! Data products for manufacturing at shop floor
Static Type Analysis for Robust Data Products
To explain or to predict?
Using Random Forests in Python
Variational Inference and Python
Yellowbrick: Steering Machine Learning with Visual Transformers
Building a ChatBot with Python, NLTK and scikit
Building Web-based Analysis & Simulation Platforms with React/Redux, Flask, Celery, Bokeh, and Numpy
Easy Bayesian regularization for fitting financial time series and curves
Introduction to Convolutional Neural Networks using TensorFlow and Keras
Jupyter Notebooks for geospatial data analysis
Make your research interactive with Jupyter Dashboards
One workshop that data scientists don't want you to attend...
PyData London 2017 - Closing Notes
Ten Steps to Keras
Test-Driven Data Analysis
Twisted up in a Distributed Tornado - a beginners guide to async frameworks in python
Word Embedding For Fun and Profit