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classification algorithms
March 2, 2021 The Explorium Data Science Team AI Education

Decisions, Decisions: A Quick Guide to Classification Algorithms and How to Choose the Right One

To decision-tree or not to decision-tree, that is the question. Or to cluster, for that matter. Or to linear regress. Classification is a key part of

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machine learning bias by explorium
February 9, 2021 Explorium Data Science Team AI Education

Bias or Variance? How Each Affects Your Model and Why You Should Care

We all want our models to be as accurate as possible. While you can’t control every factor that interferes with accuracy, there are two types of

Predictive Model Deployment
January 25, 2021 Joseph Sibony AI Education

A Brief Introduction to Predictive Model Deployment

You’ve built your model, you’ve located your data sources, and you’ve done all the initial processing and ETL to get your data how you want it.

data pipeline
October 28, 2020 Joseph Sibony Data Science

How Explorium Upgrades Your Data Pipeline

Let’s say you own a factory that makes computers. You need to have a steady pipeline of parts and raw materials. You can approach this necessity

direct mail and external data
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

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

data integration metrics
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 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

Categories
  • All posts
  • AI Education
  • AI for FinTech
  • AI in the news
  • Automation
  • Business Intelligence
  • Consumer Goods
  • Data Acquisition
  • Data Enrichment
  • Data Science
  • Digital Marketing
  • Explainability
  • External Data
  • External Data for eCommerce
  • Feature Engineering
  • Feature Selection
  • General
  • Interpretability
  • Machine Learning
  • Predictive Models
  • Security & Privacy
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