The Dataiku Blog

What It's Like to Get Started in Data Science

We attended the National Learn to Code Day in Toronto this year, and in addition to helping out with the event, we had a chance to talk with three participants and an instructor about what it’s...

data science, Events, machine learning | October 19, 2017 | Lisa Bardet

Some Recommendations on Recommendation Engines

Today, recommendation engines are ubiquitous. While some are easy to spot, featured in a nice neat “Recommended for You” section, so many more lurk behind the scenes. In fact, it’s entirely likely...

data science, machine learning, recommendation systems | September 18, 2017 | Lynn Heidmann

What’s In an Emoji? Decoding Millennial “Speak” with Data Science

Emojis are used everywhere in today’s digital world, and sometimes they are used more often than words to represent thoughts, from simple to complex. Yet unlike words, there is no clear dictionary...

data science, natural language processing, social | September 11, 2017 | Alex Wolf

Introducing Our New Data Science Blog

Letting your kids grow up and leave home is a pain every parent must know. And that's kinda how we feel today, watching our data scientists go out into the wild and creating their own data science...

data science, Team | September 04, 2017 | Alivia Smith

Deployment to Production is Organizational (not Just Technical)

We recently shared how we at Dataiku approach and facilitate data analytics in production, and we have one more angle to take on it: the human angle.

Production, data science, architecture | August 07, 2017 | Robert Kelley

Production is Where Your Analytics is Really the Star

Imagine if you and your team spent months putting together a powerful analytics or data science model with great insights, but nobody ever used the dashboards or automated decisions with it. It...

Production, data science, IT | July 24, 2017 | Robert Kelley

Dear MTA: Stop the Subway Debacle. Start Predictive Maintenance.

If you’ve spent any time in New York City in 2017, you know that the subway system is currently a hot mess - and I’m not talking just about its sweltering platforms. With more than 70,000 subway...

data science, predictive analytics, predictive maintenance | July 11, 2017 | Pauline Brown

To Predictive Maintenance and Beyond with Second-Order Analytics

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...

data science, machine learning, second-order analytics | July 06, 2017 | Lynn Heidmann

Doing Data Science with Dataiku and Vertica

Many Dataiku customers use Vertica, the powerful SQL database management software, as the engine on which to run Dataiku. This makes sense, because not only is it easy to get started with Dataiku...

data science, SQL, Vertica | May 10, 2017 | Robert Kelley

How To Become A Large-Scale Data Innovator

Today, almost all companies in a wide range of industries call themselves data driven. After all, not being data driven in this day and age is hardly an option - those that don’t embrace it are...

data science, business, scale | April 21, 2017 | Lynn Heidmann

Why You Should Use Kafka Even Though You Might Not Need It (Yet)

You’ve probably heard quite a bit about Apache Kafka, the leading system for storing streaming data that LinkedIn open sourced back in 2011. Apache Kafka is an extremely powerful and scalable...

data science, predictive analytics, architecture | April 18, 2017 | Robert Kelley

Using US Census Data to Predict Housing Prices

The United States Census Bureau (USCB) has been surveying the U.S. population -- including its massive, decennial population census -- since 1903, and the sheer volume and quality of the data they...

Product, data science, plugins | April 10, 2017 | Nicolas Gakrelidz

Introducing PolYamoR, the two-way translator between Python and R

Today, data science is the field of a Big War between Python and R.

data science, python, deep learning, April Fool Joke | April 01, 2017 | Florian Douetteau

Guest Post: Predicting Connections to ISIS Based on Tweet Content

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...

data science, machine learning, predictive analytics | March 30, 2017 | Lynn Heidmann

Predict (and Prevent) Customer Churn

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...

data science, machine learning, churn | March 01, 2017 | Lynn Heidmann

Mapping Predicted and Real Rates of Crime in Greater London

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...

data science, machine learning, Data analysis | February 13, 2017 | Nicolas Gakrelidz

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...

data science, machine learning, tutorial | January 14, 2017 | Nicolas Gakrelidz
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