Abstract: I'm planning the family summer vacation. This year is going to be a little different. This year I'm going to use Python, Machine Learning and Oracle Cloud to plan the vacation. It will be a driving holiday in Scotland, but what places do we visit and in what order? Using details of local landmarks and family personal interest, Python and machine learning are used to identify different groupings of local landmarks matching those interests. Combining the outputs of the Python Machine Learning a driving route will be planned to optimise the number of landmarks to visit, where to stay and what else to visit and then saving the details to Oracle Cloud. Do one thing for me! Don't tell my family this is how our vacation is being planned.
Bio: Brendan Tierney, Oracle GroundBreaker Ambassador and Oracle ACE Director, is an independent consultant (Oralytics) and lectures on data science, databases, and Big Data at the Technological University Dublin. He has over 27 years experience working in the areas of data mining, data science, machine learning, big data, and data warehousing. Tierney has published four books, three with Oracle Press/McGraw-Hill (Predictive Analytics Using Oracle Data Miner, Oracle R Enterprise: Harnessing the Power of R in Oracle Database, and Real World SQL and PL/SQL: Advice from the Experts) and one with MIT Press (Essentials of Data Science).
Web and blog: www.oralytics.com