Blog_Feature Engineering_

Feature Engineering

Categories
  • All posts
  • AI Education
  • AI for FinTech
  • AI in the news
  • Automation
  • B2B Marketing
  • Business Intelligence
  • Consumer Goods
  • Data Acquisition
  • Data Architecture
  • Data Enhancement
  • Data Enrichment
  • Data Quality
  • Data Science
  • Digital Marketing
  • Explainability
  • External Data
  • External Data for eCommerce
  • External Data Orchestration
  • Feature Engineering
  • Feature Selection
  • General
  • Interpretability
  • Machine Learning
  • Predictive Models
  • Security & Privacy
  • Tutorials
  • unknown unknowns
5 reasons why feature engineering is challenging
October 25, 2021 Stephanie Casola Feature Engineering

5 Reasons Why Feature Engineering is Challenging

Feature engineering is an important part of leveraging big datasets. Even with the right technical skills and domain knowledge, it can still be a time consuming

Subscribe Today! Get the latest updates with our newsletter.
We promise you'll love it.

Follow us

What is Feature Enginering
January 4, 2021 Joseph Sibony Data Science

What is Feature Engineering?

Your data is teeming with potential insights, ready to be teased out by predictive models. But doing that isn’t only about knowing what questions to ask

Better insights from automatic feature engineering
September 8, 2020 Joseph Sibony Data Science

How Explorium’s Automated Feature Engineering Improves Your Data Science

So, you’ve built a dataset you’re happy with, and your machine learning (ML) model ready to start making predictions left and right. Easy as pie, right?

filter and wrapper methods
August 11, 2019 Aviv Nutovitz Data Science

Demystifying Feature Selection: Filter vs Wrapper Methods

Feature selection algorithms are increasingly growing in significance. In this article, we will cover (and compare) two popular feature selection methodologies - Filter and Wrapper.

machine learning algorithms
July 9, 2019 Maël Fabien Data Enrichment

Who's the painter?

Better features, better data

data science blog
June 22, 2019 Eilon Baer Feature Engineering

How feature selection could actually harm your machine learning models when used incorrectly

(or – “how I f***ed up my text classifier while thinking it’s performing well")

Categories
  • All posts
  • AI Education
  • AI for FinTech
  • AI in the news
  • Automation
  • B2B Marketing
  • Business Intelligence
  • Consumer Goods
  • Data Acquisition
  • Data Architecture
  • Data Enhancement
  • Data Enrichment
  • Data Quality
  • Data Science
  • Digital Marketing
  • Explainability
  • External Data
  • External Data for eCommerce
  • External Data Orchestration
  • Feature Engineering
  • Feature Selection
  • General
  • Interpretability
  • Machine Learning
  • Predictive Models
  • Security & Privacy
  • Tutorials
  • unknown unknowns
Get started with Explorium External Data Cloud Start for free