13 to 14 June 2018
9.00 am to 5.00 pm
Data Analytics Consulting Centre
Department of Statistics and Applied Probability
Computer Laboratory 2 (S16-05-102)
Faculty of Science
6 Science Drive 2
With the advancement of technology and Big Data, businesses are building more complex techniques and algorithms to identify risk. Using machine learning techniques, businesses are now able to build risk models which enable them to identify the likelihood and probability of customers being a risk. Businesses can therefore make smarter decisions in a timely manner.
• Cancellation before or on 28 February 2018: Full fee refund
• Cancellation between 1 to 28 March 2018: 50% fee refund
• Cancellation after 28 March 2018: No refund
• Overview of machine learning
• Importance of machine learning
• Impact of machine learning on businesses
• Types of machine learning techniques
• Linear Regression method
• Decision Tree method
Prof Hargreaves is an analytics and business intelligence professional with over 28 years’ analytics experience. She has held leading roles in the pharmaceutical, healthcare, fast moving consumer goods and education industries.
Prof Hargreaves has worked with various leading companies to make businesses more intelligent. These include Pfizer, Novartis, MSD, Nestlè, MasterFoods, Goodman Fielder, Foxtel, Aztec (acquired by IRI), Cegedim Strategic Data (acquired by Quintiles IMS), the National Health and Medical Research Council and the National University of Singapore. Prof Hargreaves’ role includes analytics training, designing of analytics courses, and providing analytics advisory and consulting services. She is also a noted keynote conference speaker.
Prof Hargreaves has a passion for solving business problems using analytics and machine learning techniques to build data-driven solutions. Through faster and smarter business processes, her clients are empowered for organic revenue growth and to make effective decisions.