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External Data Risk Models
March 25, 2020 Explorium Data Science Team AI Education

COVID-19 Broke Your Risk Models. This is How External Data Can Fix Them.

The previous decade has been one of impressive growth and massive profits for financial services providers. As the global economy bounced back from the recession, new

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data crisis
March 16, 2020 Explorium Data Science Team AI Education

Tomorrow Comes Today – Using External Data to Cut Through the Unpredictability of Crises

“Only a crisis —  actual or perceived — produces real change.” – Milton Friedman The start of 2020 has been one of the most turbulent on

SMBs and external data
March 9, 2020 Shelby Blitz Data Enrichment

How SMBs Can Boost Their Bottom Line With External Data

There are some insights that can only come from the data you produce or collect in-house. Historical sales figures, for example. Foot traffic through your store.

data monetization
March 3, 2020 Explorium Data Science Team AI Education

How Much For The Set? How You Can Monetize Your Datasets

Data science websites overflow with tips for organizing and handling your data, improving visibility and gaining insight into your company’s performance. The question is, though: how

Model drift
February 24, 2020 Juan De Dios Santos Data Science

Understanding and Handling Data and Concept Drift

I know you’ve heard this a million times, but I’ll say it one more time: nothing lasts forever. Youth is not eternal, your phone gets slower,

feature engineering for machine learning
February 17, 2020 Eric Feldman Data Science

Stay Inside The Lines: Coloring With Artificial Intelligence

After a few months with no side projects on my plate, I was eager to create something new. I’ve made it a routine to try and

feature engineering for machine learning
February 10, 2020 Eilon Baer Data Enrichment

Support and Coverage – Data Integration Metrics You Should Know

Data enrichment is a crucial step in the modeling process that data scientists tend to overlook due to the difficulty in finding and utilizing external sources.

feature selection in machine learning
February 3, 2020 Explorium Data Science Team Data Science

Clustering — When You Should Use it and Avoid It

No matter what type of research you’re doing, or what your machine learning (ML) algorithms are tasked with, somewhere along the line, you’ll be using clustering

machine learning predictive models
January 28, 2020 Avi Zuck Data Science

AI Across the Funnel: The Use Cases You’re Missing Out On

The AI revolution, as a continuation of the BI revolution, caused companies to acquire, ramp up, centralize, and deepen their data analytics, data science, and data

Categories
  • All posts
  • AI Education
  • Automation
  • Business Intelligence
  • Data Enrichment
  • Data Science
  • Explainability
  • Feature Engineering
  • Feature Selection
  • General
  • Interpretability
  • Machine Learning
  • Predictive Models