Machine learning has been used for more than two decades in ATMs to perform optical character recognitions for automatic processing of checks [1]. I believe it

Machine learning has been used for more than two decades in ATMs to perform optical character recognitions for automatic processing of checks [1]. I believe it is used by the post office as well. It is used by PayPal and other financial services companies for the purposes of fraud detection [2]. It is widely used to filter spam emails as well [3]. It is also widely used in recommender systems, starting with Netflix movie recommendations [4]. While currently more academic, it also has tremendous promise in healthcare diagnostic tasks [5,6]. It has also been used in economics applications such as measuring the global impact of fishing [7] and in poverty prediction in third world countries [8]. [1] http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.26.7360&rep=rep1&type=pdf http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.26.... [2] https://www.infoworld.com/article/2907877/how-paypal-reduces-fraud-with-machine-learning.html https://www.infoworld.com/article/2907877/how-paypal-reduces... [3] https://en.wikipedia.org/wiki/Naive_Bayes_spam_filtering https://en.wikipedia.org/wiki/Naive_Bayes_spam_filtering [4] https://en.wikipedia.org/wiki/Netflix_Prize https://en.wikipedia.org/wiki/Netflix_Prize [5] https://jamanetwork.com/journals/jama/fullarticle/2588763 https://jamanetwork.com/journals/jama/fullarticle/2588763 [6] https://www.nature.com/articles/nature21056 https://www.nature.com/articles/nature21056 [7] http://science.sciencemag.org/content/359/6378/904 http://science.sciencemag.org/content/359/6378/904 [8] http://science.sciencemag.org/content/353/6301/790 http://science.sciencemag.org/content/353/6301/790