Please use this identifier to cite or link to this item: http://repository.i3l.ac.id/jspui/handle/123456789/1266
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dc.contributor.authorSaputra Giay, Daniel Matheus Anggi-
dc.date.accessioned2025-05-08T03:59:22Z-
dc.date.available2025-05-08T03:59:22Z-
dc.date.issued2025-01-31-
dc.identifier.urihttp://repository.i3l.ac.id/jspui/handle/123456789/1266-
dc.description.abstractBangkit Academy is a Study Independent under MSIB program which was held from 6 sept - 31 december 2024. Bangkit Academy offers a learning path of machine learning which was taken as part of this internship. Throughout the 4 month sessions, the activities covered online study of various machine learning branches through Dicoding and Coursera classes, Instructor Led Training, and completion of capstone group projects. Machine learning classes obtained from Dicoding and Coursera platform covers intermediate to complex machine learning fields such as Python with operating system, Linear Algebra for Data Science, supervised and unsupervised learning, Tensorflow for Machine Learning and Deep Learning, Generative AI, and many more. The Instructor Led Training (ILT) is an online live session led by expertise from big companies to give tutors and lectures of Machine Learning implementation in industry. The last activity is a capstone group project consisting of 7 members with the task was to develop an App that could solve real world issues. In the capstone group project, an application called DiaBite was developed with the combination of machine learning, cloud computing, and mobile development with the goal to overcome the challenges of diabetes medical urgency due to late diagnosis. DiaBite offers the functionality of diabetes prediction, which gives users the probability percentage of having diabetes and another optional functionality which is food suggestion in regards to the diabetes prediction outcome.en_US
dc.language.isoenen_US
dc.publisherIndonesia International Institute for Life-Sciencesen_US
dc.relation.ispartofseriesEP BI-003;EP100-
dc.subjectMachine Learningen_US
dc.subjectcapstone projecten_US
dc.subjectTensorflowen_US
dc.subjectDeepLearningen_US
dc.titleMACHINE LEARNING COHORT IN MSIB BANGKIT ACADEMY 2024 : DIABITE APPLICATION FOR CONTROLLING DIABETES AND FOODen_US
dc.typeWorking Paperen_US
Appears in Collections:Biomedicine

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