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Event: PyData Amsterdam 2018
Other events in this series:
2016
2017
2018
2019
Are You Ready for GDPR?
Asyncio, websockets, and BTC sitting in a tree
Bayesian Deep learning with 10% of the weights
Building customer-visible data science dashboards with Altair / Vega / Vue
Case Study in Travel Business - Time Series Analysis with Seasonal Data
Challenges in building Machine Learning models in production
Computer-aided design of advertisement product compositions
Conversational AI with Rasa Core & NLU
Creating correct and capable classifiers
DataFrames: scaling up and out
Deploying JupyterHub with Kubernetes
Detecting Pikachu on Android using Tensorflow Object Detection
Dynamic Code Instrumentation with Hacked Interpreters
Elegant data pipelining with Apache Airflow
Forecasting airline passengers using designer machine learning
From cells to drug responses - machine learning in cancer research
Half Hour of Flower: Planting the seeds for great Image Quality
Hands-on introduction to Deep Learning with Keras and Tensorflow
Improve classification accuracy for customer contact transcriptions
Keynote: Pentesting ChatOps
Learning credit networks with applications in financial industry
Monitoring models in production
PyData Amsterdam 2018 Lightning Talks
PyData Amsterdam 2018 overview
Python and the Holy Grail of Causal Inference
(Re)training word embeddings for a specific domain
SAMENVATTR, or, How to Make a Text Summarization Tool for your Language of Choice
Scaling Machine Learning jobs with Kubernetes
Selection bias: The elephant in the room
Structured Streaming with PySpark and Azure Databricks
Super Donkey Cars
The Data I Breathe
Thompson Sampling for Machine Learning
Tricks, tips and topics in Text Analysis
Unit Testing Data with Marbles
Why AI in the Medical Field Both Sucks and Rocks...
“Why Should I Trust You?” - Debugging black-box text classifiers
Winning (Some) Churners Back