Council Post: How To Avoid Bias In Machine Learning Algorithms

Alexei Dulub, the founder and CEO of PixelPlex, an R&D company, discusses the potential for machine learning algorithms to produce biased output. He provides three key rules to help minimize bias in ML algorithms, including ensuring proper data collection, leveraging exploratory data analysis, and using a subject matter expert in the industry to which the algorithm will be applied.