Fraud and Anomaly Detection - Hong Kong

This course presents statistical, computational and machine-learning techniques for predictive DETECTION OF FRAUD AND SECURITY BREACHES. These methods are shown in the context of use cases for their application, and include the extraction of business rules and a framework for the interoperation of human, rule-based, predictive and outlier-DETECTION METHODS.Methods presented include predictive tools that do not rely on explicit fraud labels, as well as a range of outlier-detection techniques including unsupervised learning methods, notably the powerful random-forest algorithm, which can be used for all supervised and unsupervised applications, as well as cluster analysis, visualisation and fraud detection based on Benford’s law. The course will also cover the analysis and visualisation of social-network data. A basic knowledge of R and predictive analytics is advantageous. Please refer to full course details at https://alphazetta.ai/fraud-and-anomaly-detection/ [https://alphazetta.ai/fraud-and-anomaly-detection/] EARLYBIRD PRICING IS AVAILABLE UP TO 2 WEEKS PRIOR. THIS IS AN ALPHAZETTA PUBLIC COURSE – GROUP DISCOUNTS ARE AVAILABLE AND ALSO APPLY DURING THE EARLYBIRD PERIOD (UP TO 2 WEEKS PRIOR): 5% for 2–4 people, 10% for 5–6 people, 15% for 7–8 people, and 20% for 9 or more people. Discounts are calculated during checkout. By booking this course you agree to our Terms and Conditions [http://alphazetta.ai/academy/academy-public-course-booking-terms-and-conditions/] × DR EUGENE DUBOSSARSKY Based in Australia, travelling frequently Eugene is Managing Partner of AlphaZetta Academy and a leader in the analytics field in Australia, with 20 years’ commercial data science experience. He is the head of the Sydney Data Science group (3,000+ members), the Sydney Users of R Forum (1,900+ members), and Datapreneurs (400+ members). He is regularly invited to be a conference presenter, consultant and advisor, and appears in print and on television to discuss data science and analytics. Eugene also applies data science in an entrepreneurial setting, to financial trading and online startups, and is the creator of ggraptR, an interactive visualisation package in R. He is a Director at Presciient, providing analytics capability, development services including team selection, training, and executive coaching for team owners and sponsors. They also provide strategic advisory, communications and specialised advanced data analysis.