Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Real-World Application of Machine Learning and Deep Learning Subject The topic of the resource Artificial intelligence; Decision Tree; Deep Learning; Healthcare; Machine Learning Description An account of the resource The world today is running on the latest computer technologies and one of those is machine learning. The real life example that most of us know is speech recognition. Google Assistant is the common example for this Speech recognition. This google assistant is not only limited till 'Ok Google', but it responds to all your questions in a smart way. It can manage all your calls or can book appointments. Imagine you fell down while de-boarding a bus. So, Next time you take care so that you don't fall that is something that your brain has interpreted from your past experience. This is what exactly deep learning is, it imitates human brain works. Deep learning is sub-branch of machine learning. It is able to build all new things based on its previous experiences. Many of us have heard about driverless cars and medical diagnosis. Recently google has developed a new technology where all your cardiovascular events can be predicted by eye scan so, that doctors can get a clear view of what is inside the body of a patient. These all are developed using machine learning. It has a capability to change the human world into a complete robotic world. Anyways, it also has its own disadvantages. This article discusses about those, Scope of machine learning, its Market potential, financial growth and Current applications of machine learning. 2019 IEEE. Creator An entity primarily responsible for making the resource Reema Sree S.; Vyshnavi S.B.; Jayapandian N. Source A related resource from which the described resource is derived Proceedings of the 2nd International Conference on Smart Systems and Inventive Technology, ICSSIT 2019, pp. 1069-1073. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICSSIT46314.2019.8987844" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSSIT46314.2019.8987844</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85080069050&amp;doi=10.1109%2FICSSIT46314.2019.8987844&amp;partnerID=40&amp;md5=3b9f8f496ddce59f570a566f8029fdec" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85080069050&amp;doi=10.1109%2fICSSIT46314.2019.8987844&amp;partnerID=40&amp;md5=3b9f8f496ddce59f570a566f8029fdec</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172812119-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Reema Sree S., CHRIST (Deemed to Be University), Kengeri Campus, Bangalore, India; Vyshnavi S.B., CHRIST (Deemed to Be University), Kengeri Campus, Bangalore, India; Jayapandian N., CHRIST (Deemed to Be University), Kengeri Campus, Bangalore, India