CONFERENCE PREVIEW - Predictive Analytics World

WorkshopsSchedule:• Workshop starts at 9:00am• Morning Coffee Break at 10:30-11:00am• Lunch provided at 12:30-1:15pm• Afternoon Coffee Break at 2:30-3:00pm• End of the Workshop: 4:30pmAttendees receive a free copy of Andrew Fast’s bookon Practical Text Mining, an electronic copy of thecourse notes via USB drive, and an official certificate ofcompletion at the conclusion of the workshop.s Full-Day Post-Conference Workshop9:00am-4:30pmAdvanced Methods Hands-on:Predictive Modeling TechniquesSponsored by:Instructor: Dean Abbott, President, Abbott AnalyticsHow to talk so your business team will listen, how to listen soyour business team will talk.Intended Audience: Practitioners - Analysts who wouldlike a tangible introduction to predictive analytics or whowould like to experience analytics using a state-of-the-artdata mining software tool.Technical Managers - Project leaders, and managers whoare responsible for developing predictive analytics solutions,who want to understand the process.Knowledge Level: Familiar with the basics of predictivemodeling.Workshop Description: Once you know the basics ofpredictive analytics and have prepared data for modeling,which algorithms should you use? What are the similaritiesand differences? Which options affect the models most? Thisworkshop dives into the key predictive analytics algorithmsfor supervised learning,including decision trees, linear andlogistic regression, neural networks, k-nearest neighbor,support vector machines, and model ensembles. Attendeeswill learn “best practices” and attention will be paid tolearning and experiencing the influence various options haveon predictive models so that attendees will gain a deeperunderstanding of how the algorithms work qualitatively.Participant Background: Participants are expected toknow the principles of predictive analytics. This hands-onworkshop requires all participants to be involved actively inthe model building process, and therefore must be preparedto work independently or in a small team throughout theday. The instructor will help participants understand theapplication of predictive analytics principles, and will helpparticipants overcome software issues throughout the day.Software: While the majority of concepts covered duringthis workshop apply to all predictive analytics projects- regardless of the particular software employed - thisworkshop’s hands-on experience is achieved via StatSoftSTATISTICA. A license will be made available to participantsfor use on that day (included with workshop registration).Hardware: Bring Your Own LaptopEach workshop participant is required to bring their ownlaptop running Windows. Instructions will be provided toinstall a trial license for the analytics software used duringthis training program.Attendees receive a course materials book and an officialcertificate of completion at the conclusion of the workshop.Schedule:• Workshop starts at 9:00am• Morning Coffee Break at 10:30-11:00am• Lunch provided at 12:30-1:15pm• Afternoon Coffee Break at 2:30-3:00pm• End of the Workshop: 4:30pmThis workshop is focused squarely on solving businessproblems. It is vendor-neutral and is for business, IT andanalytic professionals responsible for best practices andimproving the business with analytics.© 2012 Rising Media, Inc. 21 www.predictiveanalyticsworld.com/sanfrancisco/2012