[REFERECE] google - Fairness: Types of Bias

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1. 제목 / 작성자(조직)
   Fairness: Types of Bias | Machine Learning Crash Course / Google

2. 원본 링크
   https://developers.google.com/machine-learning/crash-course/fairness/types-of-bias

3. 레퍼런스 설명(3줄 이내)
   머신러닝 모델에서의 인간이 할 수 있는 편향 bias 유형
   Machine learning models are not inherently objective. Engineers train models by feeding them a data set of training examples, and human involvement in the provision and curation of this data can make a model's predictions susceptible to bias.
   When building models, it's important to be aware of common human biases that can manifest in your data, so you can take proactive steps to mitigate their effects.