![Want a Robust Model? Try These Validation Strategies [Infographic]](https://blog.dataiku.com/hubfs/Blog/dart_resized.jpg?t=1503070184163)
When evaluating machine learning models, the validation step helps you find the best parameters for your model while also preventing it from becoming overfitted. Two of the most popular strategies to perform the validation...
With many types of predictive analytics strategies, just making a prediction often isn’t enough (or it isn’t the end goal); value really comes in the decisions that follow that prediction. But those decisions can require a...
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We’ve spoken before about basic concepts in data science and machine learning algorithms, and so by this point, you might have already created a machine learning model. But now the question is:...
One very important use case for predictive analytics and machine learning is security, both in the virtual and in the physical sense. Every day, organizations across the world are analyzing...
Here at Dataiku, we frequently stress the importance of collaboration in building a successful data team. In short, successful data science and analytics are just as much about creativity as they...
It’s pretty simple: churn happens when your customers are customers no longer. For any business (even those gaining customers quickly), this can be a devastating problem; but fortunately...
Using ESRI and Dataiku Data Science Studio (DSS), here’s how to create an interactive map with Web AppBuilde for ArcGIS that will reveal the different levels of predicted and real crimes in...
We hear the term “machine learning” a lot these days, usually in the context of predictive analysis and artificial intelligence. Machine learning is, more or less, a way for computers to learn...
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...
On December 14th, Pouya Yousefi (lead machine learning engineer at Dataiku) presented our twentieth Webinar, "Looking for Christmas Cheer On Twitter With Dataiku DSS".
In this video, Pouya uses ...
As you may already know, at Dataiku we love taking care of our users, followers, and fans. So, as we approach the festive period of Christmas and New Year, we have a special announcement to make:...
I joined Dataiku a few months ago to work on applying Deep Learning to image classification. I’m about to show you how to automatically tag images using a pre-trained neural network.
On October 27th, Alexandre Hubert (one of our top data scientists at Dataiku) presented our nineteenth Webinar, "How to Properly Manage Your Loan Delinquency Prediction Project With Dataiku DSS".
...
With the US election around the corner, I thought it would be both informative and fun to explore a few topics in Natural Language Processing (NLP).
In this post, I will go over the workings of a...
On September 08th, Clément Stenac (Co-founder & CTO at Dataiku) presented our eighteenth Webinar, "Leverage Spark MLLib and H2O for Distributed Machine Learning with Dataiku ." In this video,...
On August 25th, Clément Stenac (Co-founder & CTO at Dataiku) presented our seventeenth Webinar, "Spark with Python, R, and Scala in Dataiku DSS 3.1". In this video, Clément explains how Dataiku...
For the summer, Dataiku integrated me into their fantastic data science team. I hit the ground running, working on a $10,000 data-for-good competition with three colleagues… and was awarded the...
On June 22th, Kenji Lefevre (VP Product at Dataiku) presented our sixteenth Webinar, "Production with Dataiku DSS". In this video, Kenji explains how Dataiku DSS 3.0 is used to deploy predictive...
Today I'm going to tell you about a project that was inspired by an overheard conversation during lunch: Alivia Smith (whom you'll already be familiar with if you're an avid reader of our blog)...
