MACHINE LEARNING - AN OVERVIEW

Qualified products derived from biased or non-evaluated information can lead to skewed or undesired predictions. Bias types could bring about harmful results thus furthering the unfavorable impacts on Culture or goals. Algorithmic bias is a potential results of information not staying absolutely well prepared for education. Machine learning ethics