1:02:54

Lev Konstaninovskiy - Word Embedding For Fun and Profit

PyData

1:16:00

Pavlo Andriychenko - Make your research interactive with Jupyter Dashboards

PyData

1:32:57

Oliver Zeigermann - Introduction to Convolutional Neural Networks using TensorFlow and Keras

PyData

1:09:43

Andrew Stretton - Twisted up in a Distributed Tornado

PyData

1:26:45

Julia Wagemann & Stephan Siemen - Jupyter Notebooks for geospatial data analysis

PyData

1:49:02

James Powell: Building Web-based Analysis & Simulation Platforms | PyData London 2017

PyData

1:10:52

Nick Radcliffe - Test-Driven Data Analysis

PyData

39:21

Thomas Huijskens - Bayesian optimisation with scikit-learn

PyData

37:46

Jens Nie - Scale out from the very beginning

PyData

35:54

Chris Fregly - High-Performance Distributed Tensorflow

PyData

27:21

Nathan Epstein - Using Random Forests in Python

PyData

28:56

Alex Glaser - Journeys through JuPyteR

PyData

37:56

Nick Sorros - To explain or to predict?

PyData

38:36

Rebecca Bilbro - Yellowbrick: Steering Machine Learning with Visual Transformers

PyData

45:39

Dr Emlyn Clay - Analyzing the ElectroCardioGram (ECG)

PyData

31:56

Dr Caroline Clark - A beginner's guide to data analysis in cosmology using Jupyter Notebook

PyData

55:49

Gene Kogan - Picasso's terminal; data science and AI in the visual arts

PyData

34:52

Delger Enkhbayar & Mike Sumner - Diversity and Data: Cases in the Music Industry

PyData

35:23

Peadar Coyle: Variational Inference and Python

PyData

47:34

Aileen Nielsen - Pythonic Polling Analysis and Comments on 2016's Polling Surprises

PyData

1:17:27

Oliver Laslett - One workshop that data scientists don't want you to attend...

PyData

1:36:34

Valerio Maggio - Ten Steps to Keras

PyData

35:29

Dr Egor Kraev - Easy Bayesian regularization for fitting financial time series and curves

PyData

41:33

Nils Hammerla - How distributed representations make chatbots work (at least a bit)

PyData

40:29

Will Moy, Mevan Babakar - Automated factchecking in the era of fake news

PyData

42:31

Mike Innes - Julia: A Fresh Approach to Machine Learning

PyData

39:13

Deborah Leem, Barbara McGillivray - Smelly London: visualising historical smells.

PyData

37:51

Tariq Rashid - Dimension Reduction and Extracting Topics - A Gentle Introduction

PyData

39:20

Andrew Rowan - Bayesian Deep Learning with Edward (and a trick using Dropout)

PyData

37:35

Guillaume Allain - Recommender systems with Tensorflow

PyData

47:13

Emma Deraze, Charlie Harrison - Data for good: Lessons from the frontline

PyData

41:52

Ed Snelson - An Algorithm of Style

PyData

38:57

James Allen - Forecasting social inequality using agent-based modelling

PyData

37:03

Frank Kelly & Ondrej Urban - Is having dementia linked to where you live?

PyData

28:31

Uwe L Korn - Efficient and portable DataFrame storage with Apache Parquet

PyData

36:17

PyData London 2017, Lightning Talks - Saturday

PyData

39:21

Lev Konstantinovskiy - Next generation of word embeddings in Gensim

PyData

42:02

Andrew Patterson - Outlier detection methods for detecting cheaters in mobile gaming

PyData

34:42

Kathryn Harris - Astrophysics to data Science: how the Milky Way is like my company.

PyData

43:03

Alexandr Notchenko - Analyzing 3D objects with power of Deep Learning and Cython

PyData

32:22

Soraya Hausl - Leveraging recommender systems to personalise search results

PyData

45:11

Raoul Gabriel Urma & Valentin Dalibard - Interactively Analyse 100GB of Data

PyData

33:04

Jeff Abrahamson - WTF am I doing? An introduction to NLP and ANN's

PyData

38:48

PyData London 2017 Lightning Talks - Sunday

PyData

19:54

PyData London 2017 - Closing Notes

PyData

36:09

Zack Akil - "Lights, camera, AI!" - Automated sports videography

PyData

37:28

Laila Alabidi - Extracting Insight From A Muslim Marriage App

PyData

30:38

Marco Bonzanini - Static Type Analysis for Robust Data Products

PyData

41:35

Ian Ozsvald, Dr Gusztav Belteki & Giles Weaver - Machine learning with ventilator data

PyData

38:15

Stephen Whitworth - Building robust machine learning systems

PyData

29:05

Nuno Castro - Ranking hotel images using deep learning

PyData

38:59

Vincent D. Warmerdam - SaaaS - Sampling as an Algorithm Service

PyData

38:52

Soledad Galli - Machine Learning in Financial Credit Risk Assessment

PyData

1:31:09

Edward Bullen: Building a ChatBot with Python, NLTK and scikit | PyData London 2017

PyData