Familiarize yourself with data concepts before getting started with machine learning.

The data you feed into algorithms is what they learn from, so understanding the context of your data and transforming it to make it useful are crucial tasks.

Read this eBook to discover:
  • Framing your machine learning problem
  • Preparing data for algorithms
  • How to identify and handle missing data
  • Feature engineering methods 

Download Nexosis's free eBook "Data Best Practices in Machine Learning" to equip yourself with the knowledge to overcome most data hurdles.