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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

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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

April 21, 2020 Explorium Data Science Team AI Education

How Our COVID-19 Signals Give Businesses Better Decision-Making Capabilities

COVID-19 has hit almost every industry hard, and we’ve been left grasping at straws trying to make sense of our new reality. One of the biggest

data bias
April 14, 2020 Explorium Data Science Team Data Science

Data Bias and What it Means for Your Machine Learning Models

We’d all like to imagine that the machines, systems, and algorithms we create are objective and neutral, devoid of prejudice, free from pesky human weaknesses like

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 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

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