The Dataiku Blog

Top 13 Data Science Resources for Analysts

Analysts are eager to dive into new challenges, but you've only got part of the picture if you don't have all the information necessary to understand new industries and technologies. That's why we...

data science, machine learning, Analysts | April 25, 2019 | Claire Carroll

Predicting Taxi Fares Using Machine Learning in Real Time

Do you remember the days before Uber, Lyft, or Gett? Standing in the street trying to hail a taxi waiting for the moment a free cab might drive by and spot you? These days that world seems so far...

machine learning, predictive analytics, data project | March 28, 2019 | Greta Nasai & Alex Combessie

Tackling the Cold Start Problem for Recommendation Engines

I recently moved to New York City, a true abundance of riches. I wanted to find “my coffee shop,” but sampling different locales is exhausting and disheartening. I cannot fathom trying a new cafe...

recommendation, machine learning, user experience | February 06, 2019 | Claire Carroll

Why Machine Learning Interpretability Matters

Even though machine learning (ML) has been around for decades, it seems that in the last year, much of the news (notably in mainstream media) surrounding it has turned to interpretability -...

data science, machine learning, interpretability | December 04, 2018 | Lynn Heidmann

The State of Data in Astronomy

Astronomy’s approach to data has drastically changed over the past two decades. From improved data collection methods to ML-based analytics, astronomers have more access to data than ever before.

Academic, machine learning, scale | December 03, 2018 | Anna Alonso

Dataiku: “Multimodal Force Majeure” Among Predictive Analytics & ML Platforms

On the heels of the release of Dataiku 5.0, we’re delighted to share yet another exciting development: Dataiku has been named a strong performer in The Forrester Wave™: Multimodal Predictive...

Product, Corporate, machine learning | September 18, 2018 | Lynn Heidmann

A Deep (But Jargon and Math Free) Dive Into Deep Learning

Deep learning has been around for a while, so why has it just become a buzz topic in the last 5 years? Well, deep learning returned to the headlines in 2016 when Google’s AlphaGo program crushed...

machine learning, Infographic, deep learning | August 31, 2018 | Megan Fang

AI Meets Mail Processing (Automation for Admin Tasks)

Even as we continue to reach new technological milestones and solve the world's most demanding problems, many companies are still confronted with the oldest of administrative nightmares: piles and...

machine learning, deep learning, computer vision | August 09, 2018 | Robert Jett

Tips & Tricks for Starting Your First Data Project

Taking on a first data project is no easy task - it's not clear where to begin, and of course, there are lots of bumps along the way. Here are some tips and tricks that we learned while embarking...

data science, business, machine learning | August 01, 2018 | Megan Fang and Robert Jett

Quantum Computing: Cats, Crushes, and Chemistry

According to a report by the Semiconductor Industry Association, we will run out of electricity to power computers by 2040 if we don’t radically improve computing efficiency. This is one of the...

machine learning, deep learning, quantum computing | July 30, 2018 | Megan Fang

Boost Computation Power and Speed with Snowflake

Make them feel special-- this is key in marketing, business, and dating.  

It’s no different in the tech world. Companies want products with more functionality and customizability,  and a plugin...

machine learning, cloud computing, databases | July 02, 2018 | Megan Fang

O16n On The House: Housing Predictions Made Easy

A big problem in machine learning (ML) is data scarcity, but operationalizing ML is an even bigger problem for enterprises (and is often overshadowed by the excitement for big data). Dataiku 4.3...

data science, machine learning, operationalization | June 25, 2018 | Megan Fang

Data Science in Trading: Why it Matters and How to Execute

Data science has created a new capacity for powerful analysis by traders that, so far, few have taken advantage of. While quants have been doing data science for awhile now, traders have been...

machine learning, banking, trading | June 22, 2018 | Alexandre Hubert

NLP In Under 5 Min

AI is the sexiest trend in tech, and NLP (Natural Language Processing) is one of its many branches. NLP is the ability of a machine to understand and “speak” (generate) the human language. 

data science, machine learning, NLP | June 18, 2018 | Megan Fang

Our 2018 FIFA World Cup Bet: Train It Like Beckham

The 2018 FIFA World Cup starts tomorrow, and we decided to use Dataiku to predict not only who will win overall but also how far France, England, and Germany will go (we tried to include Italy too...

data science, machine learning, predictive analytics | June 13, 2018 | Pierre Le Jeune

Dataiku comes with Visual AutoML (And You Didn’t Even Know About It!)

Inspired by the latest CDiscount tech post giving an overview of some MetaML solutions, we thought this would be the perfect time to also talk about MetaML. Because what could be more meta than to...

data science, machine learning, autoML | June 11, 2018 | Leo Dreyfus-Schmidt

Disease Outbreak Assistance with Data: NATO ACT Innovation Challenge

For many organizations, the most difficult part of a data project is not the collection of the data, but rather the ability to extract actionable insights in a scalable way and in a specific time...

data science, machine learning, defense | June 05, 2018 | Remi Meunier
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