2:56

PyData Amsterdam 2018

PyData

46:55

Keynote: Are You Ready for GDPR? - Michele Appello

PyData

48:39

Keynote: Pentesting ChatOps - Melanie Rieback

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1:28:41

Hands-on introduction to Deep Learning with Keras and Tensorflow - Rodrigo Agundez

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1:21:20

Structured Streaming with PySpark and Azure Databricks - Andrei Varanovich

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1:37:55

Conversational AI with Rasa Core & NLU - Tom Bocklisch

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1:29:04

Tricks, tips and topics in Text Analysis - Bhargav Srinivasa Desikan

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37:07

Creating correct and capable classifiers - Ian Ozsvald

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33:59

Forecasting airline passengers using designer machine learning - Alexander Backus, Jan van der Vegt

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34:00

Detecting Pikachu on Android using Tensorflow Object Detection - Juan De Dios Sanos Rivera

PyData

36:03

SAMENVATTR, or, How to Make a Text Summarization Tool for your Language of Choice - Robert Rodger

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25:54

The Data I Breathe - Gorjan Jovanovski

PyData

32:38

Super Donkey Cars - Niels Zeilemaker

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37:01

Selection bias: The elephant in the room - Lucas Bernardi

PyData

37:34

Learning credit networks with applications in financial industry - Sumit Sourabh

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34:37

Thompson Sampling for Machine Learning - Ruben Mak

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30:05

Winning (Some) Churners Back - Ferran Elias

PyData

33:33

Why AI in the Medical Field Both Sucks and Rocks... - Kicky van Leeuwen

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30:45

Improve classification accuracy for customer contact transcriptions - Maria Vechtomova

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26:06

Monitoring models in production - Jannes Klaas

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27:13

Deploying JupyterHub with Kubernetes - Camilla Montonen

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39:57

Unit Testing Data with Marbles - Jane Stewart Adams

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24:48

Computer-aided design of advertisement product compositions - Kay Hoogland

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35:38

Elegant data pipelining with Apache Airflow - Bolke de Bruin

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25:15

Case Study in Travel Business - Time Series Analysis with Seasonal Data - Cheuk Ting Ho

PyData

33:55

Half Hour of Flower: Planting the seeds for great Image Quality - Dirk Guijt

PyData

30:06

(Re)training word embeddings for a specific domain - Jetze Schuurmans

PyData

25:48

Scaling Machine Learning jobs with Kubernetes - Tarek Mehrez, Carsten Lygteskov Hansen

PyData

30:59

Python and the Holy Grail of Causal Inference - Dennis Ramondt, Huib Keemink

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31:38

DataFrames: scaling up and out - Ondrej Kokes

PyData

29:25

Building customer-visible data science dashboards with Altair / Vega / Vue - Uwe L Korn

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35:42

Bayesian Deep learning with 10% of the weights - Rob Romijnders

PyData

22:45

“Why Should I Trust You?” - Debugging black-box text classifiers - Tobias Sterbak

PyData

34:38

From cells to drug responses - machine learning in cancer research - Julian de Ruiter, Nanne Aben

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37:37

Dynamic Code Instrumentation with Hacked Interpreters - James Powell

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23:35

Challenges in building Machine Learning models in production - Elena Sokolova

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37:17

Asyncio, websockets, and BTC sitting in a tree - Giovanni Lanzani

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23:32

PyData Amsterdam 2018 Lightning Talks

PyData