Blog_General_

General

Categories
  • All posts
  • AI Education
  • AI for FinTech
  • Automation
  • Business Intelligence
  • Data Acquisition
  • Data Enrichment
  • Data Science
  • Explainability
  • Feature Engineering
  • Feature Selection
  • General
  • Interpretability
  • Machine Learning
  • Predictive Models
  • Security & Privacy
Explorium at Gartner Data & Analytics Summit
May 1, 2021 General

Should you attend the Gartner Data & Analytics Summit? (Yes, you should)

When it comes to virtual events, two things are universally true. One, we’ve seen it all this year: the awkward, the intimate and everything in between.

Subscribe Today! Get the latest updates with our newsletter.
We promise you'll love it.

Follow us

April 1, 2021 Explorium Data Team Data Acquisition

How to Find and Onboard External Data Without the Headaches

“External data sources are helping businesses personalize marketing offers, improve HR decisions, gain new revenue streams by launching new products or services, enhance risk visibility and

Fintech Is At An Inflection Point
January 18, 2021 Dedy Kredo AI Education

2021 Will Be an Inflection Point for Data Science and Fintech

It’s getting crowded in fintech. That’s not a new revelation or anything, but it’s a trend that’s had a lot of serious consequences — especially as

data science and business
August 10, 2020 Explorium Data Science Team General

How to Use Data to Position Your Company For Tomorrow

Money never sleeps, dataflows never slow, and a data leader’s job is never done. You aren’t just thinking about how to make sense of the data

feature stability
January 13, 2020 Aviv Nutovitz Feature Selection

Cracking The Stability of Feature Selection

One of the best ways to improve your production machine learning models is to improve the data that your model is trained on. Simple, right? Not

data science blog
July 24, 2019 Maël Fabien Data Science

Interpretability and explainability (Part 2)

The whole idea behind interpretable and explainable ML is to avoid the black box effect.

data science blog
July 15, 2019 Maël Fabien Data Science

Interpretability and explainability (Part 1)

The whole idea behind interpretable and explainable ML is to avoid the black box effect.

data science blog
July 11, 2019 Maor Shlomo Data Science

The ultimate machine learning model deployment checklist

While there is some room for error while integrating models into production environments, there is also a very good probability that these issues will eventually lead to disaster. And that’s exactly why we have created this pre-model deployment checklist.

data science blog
July 9, 2019 Maël Fabien Data Enrichment

Who's the painter?

Better features, better data

Categories
  • All posts
  • AI Education
  • AI for FinTech
  • Automation
  • Business Intelligence
  • Data Acquisition
  • Data Enrichment
  • Data Science
  • Explainability
  • Feature Engineering
  • Feature Selection
  • General
  • Interpretability
  • Machine Learning
  • Predictive Models
  • Security & Privacy
New! Get Our Latest Research Report "2021 State of External Data Acquisition" Read Now