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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.

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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

machine learning in banking
January 20, 2020 Explorium Data Science Team Data Enrichment

It’s Official: Online Lenders Can No Longer Afford to Ignore Alternative Data

You don’t know what you don’t know, as the old saying goes. But in the age of Big Data, you simply can’t afford to shrug off

2020 data science conferences
January 15, 2020 Explorium Data Science Team AI Education

The Top Six Must-Attend Data Science Conferences Coming in 2020

For all the hype and press it has received in the past few years, data science is still a field very much in flux. Although it’s

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

gold mine
January 9, 2020 Revital Rubin Data Enrichment

5 Steps to Mine Hidden Gold Out of An External Data Source

If you’re familiar with Explorium then you know that we believe the core challenge for data science is data. Specifically, we believe data scientists need more

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

2020 data science predictions
December 19, 2019 Explorium Data Science Team Data Science

2020: The Year Data Dominates Data Science

Data has been a hot topic of discussion for years now. As organizations create and collect more and more data, it’s key that they use it

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