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June 23, 2019 Omer Har Data Science

The spectrum of complexity

Demystifying the old battle between transparent, explainable models and more accurate, complex models.

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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")

June 16, 2019 Maor Shlomo Automation

Why automating data science will kill the BI industry

Machine learning models are mathematical models that leverage historical data to uncover patterns which can help predict the future to a certain degree of accuracy. And

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