Setting up predictive analytics services with Palladium

ExpAn - A Python library for advanced statistical analysis of A/B tests

Removing Soft Shadows with Hard Data

A full Machine learning pipeline in Scikit-learn vs in scala-Spark: pros and cons

Bayesian Optimization and it's application to Neural Networks

Brand recognition in real-life photos

Building a polyglot Data Science Platform on Big Data systems

Connecting Keywords to Knowledge Base Using Search Keywords and Wikidata

Estimating stock price correlations using Wikipedia

Plumbing in Python: Pipelines for Data Science Applications

Predicting political views from text

PySpark in Practice

Python based predictive analytics with GraphLab Create

Smart Banking - Real Time Driven

Spotting trends and tailoring recommendations: PySpark on Big Data in fashion

Visualizing FragDenStaat.de

Visualizing research data: Challenges of combining different datasources

Zero-Administration Data Pipelines using AWS Simple Workflow

Accelerating Python Analytics by In-Database Processing

BigchainDB : a Scalable Blockchain Database, in Python

Bridging the gap: from Data Science to service

Classifying Search Queries Without User Click Data

Data Integration in the World of Microservices

Dealing with TBytes of Data in Realtime

Designing spaCy: Industrial-strength NLP

Frontera: open source, large scale web crawling framework

Functional Programming in Python

How to Trick a Neural Network

Introduction to Julia for Python Developers

Let's play Space Invaders!

Machine Learning at Scale

One in a billion: finding matching images in very large corpora

Predictive modelling with Python

pypet: A Python Toolkit for Simulations and Numerical Experiments

Python and TouchDesigner for Interactive Experiments

Python Data Ecosystem: Thoughts on Building for the Future

Robot uses toddler-like self exploration for the development of body representations

The "Kwargh!" Problem

Usable A/B testing – A Bayesian approach

Using small data in the client instead of big data in the cloud

What every data scientist should know about data anonymization

What's new in Deep Learning?