Representatives from the SAS Institute and Florida Fish and Wildlife will be on campus Jan. 23, 2018, to give presentations on Machine Learning and Visual Analytics. They will also be discussing SAS Viya, the Institute’s new next-generation high-performance and visualization architecture. The following day, a workshop on SAS coding will also be given.
The Jan. 23 presentations are open to the public. The Jan. 24 workshop on SAS Coding is open to only faculty and students. The enrollment in the workshop is limited.
All Tuesday events are in the Sudakoff Conference Center.
9:30 a.m.: Opening and Welcome – Brian Doherty, Dean, Jane Bancroft Cook Library, NCF
9:45 a.m.: Presentation: “Addressing the Analytic Skills Gap: Leveraging the SAS Academic Program” – James Harroun, SAS
10:15 a.m.: Comments from a SAS User – Duff Cooper, Director, Quantitative Resource Center, NCF
10:30 a.m.: Presentation: “Modernized Machine Learning Pipelines: SAS® Visual Data Mining and Machine Learning on SAS® Viya™” – Jonathan Wexler, SAS
Modern analytic problems require solutions that have no boundaries. In this session, you will get a sneak peek at SAS’ new, innovative release of SAS® Viya™ that enables end-to-end data wrangling, interactive exploration, pipelining, process flows and model deployment. This expansion of SAS® Visual Data Mining and Machine Learning offers an intelligent drag-and-drop process flow experience to chain together methods from machine learning including principal component analysis, singular value decomposition, outlier detection, autoencoder feature, extraction to forest, gradient boosting, deep neural networks and many others. Inject SAS code into the pipeline to truly go as deep as you need. Share methods with other teammates using reusable nodes and pipelines. Learn about this new solution and see it in action.
Jonathan Wexler is the Principal Product Manager responsible for SAS data mining and machine learning solutions, including SAS Visual Data Mining and Machine Learning on SAS Viya, SAS Enterprise Miner and SAS Factory Miner. His responsibilities include gathering market-driven requirements from customers, partners, prospects, analysts and other external resources in order to set future product direction. Jonathan works closely with Research and Development to define and prioritize features and functionality. He has a particular passion for bringing to market products that enable operationalizing the modern machine learning analytical lifecyle. Jonathan is an experienced statistician and data miner with 20+ years of experience using SAS. Jonathan has served as a speaker for multiple SAS Analytics Conference Series and SAS Global Forums. He has an undergraduate degree in Mathematics/Statistics from the University of New Hampshire and a Master’s Degree in Biostatistics from Boston University.
11:45 a.m.: Break for Lunch
1 p.m.: Presentation: “Is Dashboarding Enough? Exploration is the Future of Big Data and Business Intelligence” – James Harroun, SAS
Data visualization tools have revolutionized the accessibility and availability of organizational knowledge. Compelling visualizations deliver objective recommendations and drive organizational decision-making in efficient and effective ways, but simply visualizing the typical KPI’s and relying on the usual analyses might not allow organizations to challenge their expectations and drive meaningful change through data discovery and exploration. Organizations can dive deep into big data and benefit from the flexibility of collaborative, high-performance, big data analytical tools that synthesize big data exploration and deeper analyses with standard reporting and dashboarding. SAS® Visual Analytics on SAS® Viya™ integrates big data analytical muscle into accessible and engaging visualizations that answer questions organizations already need to know and that drive the desire to explore big data, to challenge assumptions, and to democratize analytics.
James Harroun holds a Master of Science degree in Information Science and Bioinformatics from the University of North Carolina at Chapel Hill. James’s interests include data integration, the validation and curation of big data, and aligning organizations’ data structures with analytical and reporting needs. James has worked in data management and analytics for more than 20 years as a database modeler, ETL programmer, data analyst, data integration specialist, and certified SAS programmer for private businesses and higher education institutions. James is currently a senior analytical training consultant in the SAS Global Academic Program and he assists higher education institutions in the effective use of SAS.
2 p.m.: Presentation: “Practical Applications of SAS Visual Analytics: Dashboard Development for Exploring, Visualizing, and Sharing Fisheries Catch Data” – Dominique Lazarre, Florida Fish and Wildlife
This demonstration will explore some of the ways Florida Fish and Wildlife is using SAS Visual Analytics to provide real-time visualizations of various fisheries survey databases. The report designer module has allowed the Fisheries Dependent Monitoring subsection to build sharable query tools, produce tables and graphs for quarterly / annual reports, to track biological samples, and to produce instant summaries on individual fish species captured during at-sea observer surveys. The report features allow the user to change various filters to modify each investigation to fit their needs and specifications. This allows for sharing data both within and outside the agency, while ensuring confidentiality when necessary. The reports that will be shared show only a fraction of the possible uses for SAS Visual Analytics, but will provide examples that may help identify how this tool can be used to create visualizations with biological data.
Dominique Lazarre holds a Ph.D. in Marine Biology and Fisheries from the University of Miami, Rosenstiel School. She is an Associate Research Scientist in the Fisheries Dependent Monitoring subsection at the Fish and Wildlife Research Institute. Dominique uses SAS Visual Analytics and Enterprise guide to manage, query and analyze data collected in state-wide surveys of saltwater anglers. The data collected in these surveys is used to conduct stock assessments that inform management decisions for state and federally managed species. She also uses these data to investigate changes in fishermen behavior and fill knowledge gaps about low data species.
9:30 a.m. to 4:30 p.m.: SAS Programming 1: Essentials
This course is for users who want to learn how to write SAS programs. It is the entry point to learning SAS programming and is a prerequisite to many other SAS courses. The regular course is three days in length but we will cover as much material as can be completed in one day.