People don’t normally have too much difficulty telling a tiger apart from a lion - in fact, your average three-year-old can tell them apart. But how about an algorithm?
Recent Posts
Avoid Getting “Facebooked” - Adopt a Conscious Data Strategy
If you’ve read the news in the past few weeks, you know that Facebook is in the middle of quite the PR crisis. And while it’s tempting in the wake of this news to shy away from using data for fear...
Dataiku 4.2: Now with Deep Learning and Weighted Machine Learning
Over the past few years, many organizations have devoted increasing amounts of time and resources to machine learning and, more recently, artificial intelligence (AI). But many (if not most) of...
Build Your Own Google Analytics
If you run a website, it’s so simple to use a service like Google Analytics that you probably never consider doing it yourself. But there are advantages to building your own tool to analyze your...
Need a Data Translator? Try an Analyst.
There’s a new Harvard Business Review article (You Don’t Have to Be a Data Scientist to Fill This Must-Have Analytics Role) that’s getting hundreds to shares on social media, and it makes some...
Automated Machine Learning Where You're Still the Pilot
Automated Machine Learning (AML) is a concept that’s resonated with many data scientists. Essentially, it means taking as many of the tedious, repetitive tasks associated with data projects (such...
Today is the Day to Earn the Title: Data Ninja
You're forgiven if you've somehow forgotten the fact that today, December 5, is International Ninja Day. Ninjas became prominent in Japan in the 15th century, and by the 18th century, even though...
Combine Unsupervised and Supervised Machine Learning to Predict Churn
Predicting customer churn is a classic use case for machine learning: feed a bunch of user data into a model -- including whether or not the users have churned -- and predict which customers are...
New Release from Dataiku: The Hub for Enterprise Analytics and Machine Learning. Improved.
Dataiku 4.1, our brand new release, is a leap forward in our mission to bring the power of data science and machine learning at scale to people and organizations everywhere. Already, some Dataiku...
How to Make Predictive Maintenance Actionable for Your Team
For companies in fields like manufacturing and logistics, predictive maintenance is one of the most compelling use cases of machine learning. Just imagine: as every day passes (and as you...
Future Data Analyst Role #3: The Data & Analytics Product Owner
We've already done two previous posts on the Analyst of the Future where we presented to you the Data Connector and the Data Modeler, two essential roles on tomorrow's analytics teams. Today,...
Using Dashboards to Get a Feel for Your Model Before You Build It
Some people love surprises and others hate them, but there’s nothing fun about running a predictive model and then getting head-scratching results. In our sample project gallery, we’ve set up a...
Future Data Analyst Role #2: The Data Modeler
In a previous post, we introduced the role of the Data Connector, a future analyst role that is focused on connecting to data, preparing that data, and making sure that insights are delivered as...
Future Data Analyst Role #1: The Data Explorer
What does the future look like for data and business analysts? From our perspective, it's exceedingly bright, because if you're an analyst today, you're in a better position than anyone else to...
Discover Machine Learning Without (Too Much) Jargon
According to Google Trends, interest in the term machine learning (ML) has increased by more than 300 percent since Dataiku was founded in 2013. We’ve watched ML go from the the realm of a...
Predict Your Most Profitable Customers with Dataiku
Imagine: you have a global e-commerce company selling and shipping products all around the world. You would love to be able to predict which customers will bring the most value to your business so...
Watch a Clustering Algorithm Work in the Wild
Previously, we’ve discussed regression and classification algorithms, and now that you're an expert in these types of supervised learning, it's time to delve into unsupervised learning....
The 4 Trends That Are Upending the Analyst World
You don’t need us to tell you that the data world – and everything it touches, which is, like, everything – is changing rapidly. These trends are driving the opportunities that will fuel your...
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.
How to Become the Analyst of the Future: Choose Your Own Adventure
For business and data analysts, tools and goals have been shifting rapidly for a few years now. An explosion in data means keeping up with a steep learning curve, and increased competition means...
