Predicting London Crime Rates Using Machine Learning
Predicting the number and even the type of crimes being committed in the Greater London area each month is no easy task, but here’s how I cracked it, with Dataiku Data Science Studio (DSS).
This tutorial will show how (at a very high level) Non-negative Matrix Factorization(NMF) applied to a matrix of Term Frequency-Inverse Document Frequency (TF-IDF) can be used to extract topics from large collections of text.
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One of the advantages to the Microsoft ecosystem is just how comprehensive it is. From Azure to HDInsight to Power BI, there are many ways Microsoft can enhance your data analytics experience. And...
This is a video of our data scientist Matthieu Scordia demonstrating how to build, deploy, and run a predictive application in under 15 minutes. Challenge accepted!
This is a part 2 of a series of blog posts about using Dataiku Data Science Studio in biotech. In this article we'll show you how to sequence DNa with RNA-Seq.
On November 12th, Hugo Le Squeren (Business Engineer at Dataiku) presented our tenth Free Training, "Make your first Churn Prevention Model in DSS".
A tutorial video on how Natural Language Processing by our data scientist Hanna Julienne.
Check out this video by Léo Dreyfus-Schmidt (data scientist at Dataiku) on Sports analytics and clustering in Dataiku DSS.
XGBoost, you know this name if you're familiar with machine learning competitions. It's the algorithm you want to try: it's very fast, effective, easy to use, and comes with very cool features. If...
The past decade has seen a dramatic fall in the price of a human genome, and there are amazing open-source databases filled with genomic information, so anyone can access terabytes of genomic...
When I read the blogpost about visualizing San Francisco with Open Data I was very excited about what I could do with those crime data. Could I be a "Data Science Super-hero" and predict crime?...
Here’s a brief description of a Dataiku marketers first Kaggle competition - and remember, this Dataiku marketer is me, and I'm no techy.
At Dataiku; we want to shorten the time from the analysis of data to the effective deployment of predictive applications.