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Machine Learning

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data for machine learning
October 21, 2020 Joseph Sibony Data Enrichment

Without Data, There’s No ML — Why You Should Focus on Data First

Like Italian cooking, data science is all about quality ingredients. It’s not enough to simply have a lot of data; you need to make sure the

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direct mail
October 12, 2020 Joseph Sibony Machine Learning

Direct Mail Isn’t Dead – Here’s How Explorium Can Help You Make it Work

With the increasingly digital lean in marketing, it’s easy to assume that the “old ways” like direct mail are going the way of the dodo. While

predictive model deployment
September 2, 2020 Explorium Data Science Team Data Science

4 Steps You Must Take to Prepare for Predictive Model Deployment

When Ford released the Edsel, its brand-new, mid-range model, in 1957, the company was confident it would blow the competition out of the water. After all,

data catalog
June 1, 2020 Explorium Data Science Team Data Enrichment

Why You Need Data Catalogs, Not Databases

Congratulations! You’ve embraced machine learning and data science and your organization is well on its way to building a system that helps you deploy predictive analytics

data marketplaces
May 11, 2020 Explorium Data Science Team AI Education

Why Data Marketplaces Are the Future of the Data Economy

As you know, every second of every day, we’re generating and acquiring new data. As you read this, someone is collecting data on the fact that

May 4, 2020 Explorium Data Science Team Data Science

Want to Get People Excited About Your Machine Learning Project? Tell Them a Story

In 2007, two roommates struggling to make rent in San Francisco had a bright idea. A major design conference was coming up and hotel prices were

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,

machine learning pipeline
January 2, 2020 Juan De Dios Santos Data Science

Extend Your Machine Learning Pipeline With Your Prediction Outcome

Close your eyes and imagine a machine learning production pipeline (come on, you can do it). What do you see? Oh yes, data sources; a data

Real Time Models
November 27, 2019 Juan De Dios Santos Machine Learning

Challenges in Maintaining Real-Time ML Models Using Multiple Data Sources

The field of machine learning is currently experiencing a rapid and booming expansion that seems to have no end. It seems like every other day, the

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