{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T01:16:53Z","timestamp":1750814213198,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":8,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,5,3]],"date-time":"2019-05-03T00:00:00Z","timestamp":1556841600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100012968","name":"Thompson Rivers University","doi-asserted-by":"publisher","award":["101762"],"award-info":[{"award-number":["101762"]}],"id":[{"id":"10.13039\/100012968","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,5,3]]},"DOI":"10.1145\/3314994.3325082","type":"proceedings-article","created":{"date-parts":[[2019,5,16]],"date-time":"2019-05-16T12:10:25Z","timestamp":1558008625000},"page":"1-2","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Casting a Wider (Neural) Net"],"prefix":"10.1145","author":[{"given":"Piper","family":"Jackson","sequence":"first","affiliation":[{"name":"Thompson Rivers University, Kamloops, British Columbia, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,5,3]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Gwern. 2019. The Neural Net Tank Urban Legend. https:\/\/www.gwern.net\/Tanks  Gwern. 2019. The Neural Net Tank Urban Legend. https:\/\/www.gwern.net\/Tanks"},{"volume-title":"Machine learning: Trends, perspectives, and prospects. Science 349, 6245","year":"2015","author":"Jordan Michael I","key":"e_1_3_2_1_2_1"},{"volume-title":"Big Data? Exploring the ontological characteristics of 26 datasets","year":"2016","author":"Kitchin Rob","key":"e_1_3_2_1_3_1"},{"key":"e_1_3_2_1_4_1","unstructured":"Margaret Maynard-Reid. 2018. Fashion-MNIST with tf.Keras. https:\/\/medium.com\/tensorflow\/hello-deep-learning-fashion-mnist-with-keras-50fcff8cd74a  Margaret Maynard-Reid. 2018. Fashion-MNIST with tf.Keras. https:\/\/medium.com\/tensorflow\/hello-deep-learning-fashion-mnist-with-keras-50fcff8cd74a"},{"key":"e_1_3_2_1_5_1","unstructured":"United States Senate Committee on the Judiciary. 2018. Facebook Social Media Privacy and the Use and Abuse of Data. https:\/\/www.judiciary.senate.gov\/meetings\/facebook-social-media-privacy-and-the-use-and-abuse-of-data  United States Senate Committee on the Judiciary. 2018. Facebook Social Media Privacy and the Use and Abuse of Data. https:\/\/www.judiciary.senate.gov\/meetings\/facebook-social-media-privacy-and-the-use-and-abuse-of-data"},{"key":"e_1_3_2_1_6_1","unstructured":"Theo Priestley. 2015. Chasing Big Data And The Data Scientist Unicorn. https:\/\/www.forbes.com\/sites\/theopriestley\/2015\/07\/01\/chasing-big-data-and-the-data-scientist-unicorn  Theo Priestley. 2015. Chasing Big Data And The Data Scientist Unicorn. https:\/\/www.forbes.com\/sites\/theopriestley\/2015\/07\/01\/chasing-big-data-and-the-data-scientist-unicorn"},{"key":"e_1_3_2_1_7_1","unstructured":"Daniel Smilkov and Shan Carter. 2017. Tensorflow -- Neural Network Playground. https:\/\/playground.tensorflow.org  Daniel Smilkov and Shan Carter. 2017. Tensorflow -- Neural Network Playground. https:\/\/playground.tensorflow.org"},{"volume-title":"LinkedIn Workforce Report | United States |","year":"2018","author":"Team Economic Graph","key":"e_1_3_2_1_8_1"}],"event":{"name":"WCCCE '19: Western Canadian Conference on Computing Education","sponsor":["SIGCSE ACM Special Interest Group on Computer Science Education","UOC University of Calgary"],"location":"Calgary AB Canada","acronym":"WCCCE '19"},"container-title":["Proceedings of the Western Canadian Conference on Computing Education"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3314994.3325082","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3314994.3325082","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:53:33Z","timestamp":1750204413000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3314994.3325082"}},"subtitle":["Introducing Data Science and Machine Learning to a Larger Audience"],"short-title":[],"issued":{"date-parts":[[2019,5,3]]},"references-count":8,"alternative-id":["10.1145\/3314994.3325082","10.1145\/3314994"],"URL":"https:\/\/doi.org\/10.1145\/3314994.3325082","relation":{},"subject":[],"published":{"date-parts":[[2019,5,3]]},"assertion":[{"value":"2019-05-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}