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Event: PyData Seattle 2017
Other events in this series:
2015
2017
A Quick Primer on TensorFrames: Apache Spark and TensorFlow Together
Accelerating AI development
Applying the four step "Embed, Encode, Attend, Predict" framework to predict document similarity
Automatic Citation generation with Natural Language Processing
Batch and Streaming Processing in the World of Data Engineering and Data Science
Beginning Julia: Language and Landscape
Bokeh and Friends
bqplot Interactive Data Visualization in Jupyter
Building a Brain Observatory for Visual Behavior
Building a community fountain around your data stream
Changing the Bureaucrat’s Mind Toward Data Driven Decision
Chatbots Past, Present and Future
Code First, Math Later: Learning Neural Nets Through Implementation and Examples
Data processing with Apache Beam
Data Visualization and Exploration with Python
Designing for Guidance in Machine Learning
D’oh! Unevenly spaced time series analysis of The Simpsons in Pandas
Effective Visual Studio
Forecasting Time Series Data at scale with the TICK stack
From Novice to Data Ninja
High Fidelity Web Crawling in Python
High Performance Distributed Tensorflow
How diversity drives excellence in our data driven tech world
How to be a 10x Data Scientist
Implementing and Training Predictive Customer Lifetime Value Models in Python
In database Machine Learning with Python in SQL Server
Interactive Data Analysis: Visualization and Beyond
Introduction to data analytics with pandas
JupyterLab+Real Time Collaboration
Learn to be a painter using Neural Style Painting
Machine Learning Infrastructure at Stripe: Bridging from Python JVM
Make it Work, Make it Right, Make it Fast Debugging and Profiling in Dask
Making packages and packaging "just work"
Monitoring Displacement Crises with Python
Mosaicking the Earth every day
Moving notebooks into the cloud: challenges and lessons learned
Online Change Point Detection Using Spark Streaming
Pandas, Pipelines, and Custom Transformers
Parallelizing Scientific Python with Dask
PixieDust make Jupyter Notebooks with Apache Spark Faster, Flexible, and Easier to use
pomegranate: fast and flexible probabilistic modeling in python
Practical Optimization for Stats Nerds
Provenance for Reproducible Data Science
Pydata 101
Python and IoT: From Chips and Bits to Data Science
Python for NET or NET for Python
Robust Algorithms for Machine Learning
Robust Automated Forecasting in Python and R
Scalable Data Science in Python and R on Apache Spark
Scaling Scikit Learn
Sirbarksalot Bark Detection in Python
So you want to be a Python expert?
Unlocking the power of AI: A fundamentally different approach to building intelligent systems
Upgrading Legacy Projects: Lessons Learned
Using CNTKs Python Interface for Deep Learning
Using Machine Learning and Brain Waves to Detect Errors in Human Problem Solving
Using Scattertext and the Python NLP Ecosystem for Text Visualization
Vocabulary Analysis of Job Descriptions
We came, we saw, we hacked How to win a Big Data hackathon
WorldRowing com: End To End Data Analysis
Writing a Book in Jupyter Notebooks