The Dataiku Blog

Let’s Talk Real Weather Prediction on Groundhog Day

Since circa 1887, our friend Punxsutawney Phil has been gracing us with his presence on February 2. Luckily for us, the Washington Post already a cool analysis in 2015 and Jeremy Neiman did...

Data Visualization, data science, deep learning | February 02, 2018 | Lynn Heidmann

A Beer Recommendation Engine Project for Your Super Bowl Sunday

The Super Bowl is upon us again, and that means excitement about, in order of importance: advertisements, beer, Justin Timberlake, snacks as a meal, and football. Since ads have already been leaked

data science, recommendation systems, deep learning | February 01, 2018 | Lynn Heidmann

Public Sector, Nonprofits Have Lots to Gain with ML & AI

When it comes to machine learning (ML) and artificial intelligence (AI) opportunity, many people immediately think of sleek Silicon Valley companies inventing the latest gadgets that will,...

data science, machine learning, case study | January 31, 2018 | Lynn Heidmann

The Role of DataOps in Data Science

By writing this article, I wanted to gather statements and thoughts about DataOps to create a better understanding of the role and its future. In the era of infrastructure as code and cloud, do we...

data science, collaboration, DataOps | January 26, 2018 | Joel Belafa

Why Anomaly Detection Matters to (Almost) Everyone

Across industries, technologies, and use cases worldwide, there is perhaps no other data science strategy more important to understand and to leverage than anomaly detection. While useful across...

data science, machine learning, anomaly detection | January 18, 2018 | Lynn Heidmann

Let’s Talk Data Science Near You!

Have you heard? We’ve been taking over the NYC meetup scene by inviting our favorite companies to talk about their data projects. And now we’re expanding to many more US cities in 2018!

data science, Events, Meetup | January 15, 2018 | Lisa Bardet

Must-Subscribe Data Science Newsletters for 2018

If you haven't quite stayed on top of data-related news and developments this year, well - now is the time to turn over a new leaf (and we have you covered). We all have our noses to the ground...

recommendation, News, data science | December 27, 2017 | Alivia Smith

HO HO HOliday Music Data Analysis

If there’s one thing that unites all of us during the festive holiday season, it’s music. Holiday tunes resonate with everyone, and whether you’re a fan of the old classics or the new hits, who...

Data Visualization, data science, anomaly detection | December 22, 2017 | Silviu Tofan

How to Be a(n Even Better!) Data Scientist in 2018

It’s that time of year again: time to make (and hopefully keep this time!) your new year’s resolutions. If one of yours is to be a better data scientist, you’re in luck. We asked talented data...

data science, advice, Q&A | December 21, 2017 | Alivia Smith

Top 6 Mistakes to Avoid When Running a Data Science POC

A proof of concept (POC) is a popular way for businesses to evaluate the viability of a system, product, or service to ensure it meets specific needs or sets of predefined requirements. But what...

data science, POC, proof of concept | December 19, 2017 | Julien Moreschetti

Machine Learning Momentum in Germany

Undoubtedly, 2017 has been yet another hype year for data science, particularly ML and AI. And while the associated technological and organizational evolutions are happening across the globe, they...

data science, machine learning, predictive maintenance | December 15, 2017 | Antoine Moyroud

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...

Product, data science, machine learning | December 12, 2017 | Robert Kelley

Top 4 Data Science Trends to Watch in 2018

As 2017 comes to a close, it’s time to look forward at what’s ahead in the wide world of data science. While last year was the year that the idea of deep learning really began to make its way into...

data science, deep learning, trends | December 07, 2017 | Lynn Heidmann

Black Friday Is Not Dead, but Retailers Might Want it to Be

As we launch into the holiday season, publications - Forbes, Business Insider, The Washington Post, just to name a few- are rife with claims that Black Friday is dead. While this claim is...

data science, machine learning, recommendation systems | November 21, 2017 | Lynn Heidmann

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
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