third parties to monitor and audit algorithmsbuilding alternative systems that can detect biasesand ethics reviews as part of data science project planning raising awareness about biasesbeing mindful of our own unconscious biasesand structuring equity in our machine learning projects and pipelines can work to combat bias in this field conclusion this tutorial reviewed some of the use cases of machine learningcommon methods and popular approaches used in the fieldsuitable machine learning programming languagesand also covered some things to keep in mind in terms of unconscious biases being replicated in algorithms because machine learning is field that is continuously being innovatedit is important to keep in mind that algorithmsmethodsand approaches will continue to change currentlypython is one of the most popular programming languages use with machine learning applications in professional fields other languages you may wish to investigate include javarand +