CONSIDERATIONS TO KNOW ABOUT MACHINE LEARNING

Properly trained models derived from biased or non-evaluated facts may end up in skewed or undesired predictions. Bias products could cause harmful results thus furthering the unfavorable impacts on society or aims. Algorithmic bias is a possible result of info not becoming fully well prepared for training. Machine learning ethics is now a field of