PPT-A Course in Data Discovery and Predictive Analytics

Author : faustina-dinatale | Published Date : 2017-06-14

David M Levine Baruch CollegeCUNY Kathryn A Szabat La Salle University David F Stephan Two Bridges Instructional Technology analyticsdavidlevinestatisticscom DSI

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A Course in Data Discovery and Predictive Analytics: Transcript

David M Levine Baruch CollegeCUNY Kathryn A Szabat La Salle University David F Stephan Two Bridges Instructional Technology analyticsdavidlevinestatisticscom DSI MSMESB session November 16 2013. (Data is more than “just” big). Laura Haas. IBM Almaden Research Center. 1. Data is everywhere…. Explosive growth of data . From . devices, systems, individuals. Huge demonstrated and anticipated value from leveraging . San Francisco. , February 19, 2009. The Unrealized Power of Data. Andreas Weigend. people & data. Outline. Q: Current bottleneck for you in your business? (Scarce . vs. abundant)?. Historical perspective. December 2013, Jakub Miarka, University of Leeds. RapidMiner. Formerly called . YALE. (Yet Another Language Environment). Environment for . machine learning, data and text mining, predictive and business analytics. Class 5. Tony Cox. tcoxdenver@aol.com. . University of Colorado at Denver. Course web site: . http://cox-associates.com/6330/. . What is a predictive model?. “The probability that X will happen is p” is a predictive model. Federal Big Data Working Group Meetup. November 3, 2014. Dave Vennergrund. Director Predictive Analytics and Data Science. David.Vennergrund@salienfed.com. 571 766 2757. Salient Data Analytics Center of Excellence. sfhornbuckle@photizogroup.com. Predictive Analytics. Turning Data into Profits. Photizo Group. Who We Are. ….. Who is . Photizo. Group?. We wake up in the morning, brew imaging, and drink it all day.. is the use of:. data, . information technology, . statistical analysis, . quantitative methods, and . mathematical or computer-based models . to help managers gain improved insight about their business operations and . is the use of:. data, . information technology, . statistical analysis, . quantitative methods, and . mathematical or computer-based models . to help managers gain improved insight about their business operations and . Industry Landscape. BIG. DATA. Data that is . TOO LARGE . & . TOO . COMPLEX . for conventional data tools to capture, store and analyze.. Shares traded on US Stock Markets each day:. 7 Billion. Data generated in one flight from NY to London:. Pregnant: . Predicting . T. he Future Of Predictive Analytics In Healthcare. Dale Sanders . SVP Strategy . Health Catalyst. To . what degree is your organization using predictive analytics to improve care were reduce cost?. C. ultural . E. ntrepreneurship. @. andyhamflett. WHY AM I HERE?. DATA = BAD. DATA = BAD. DATA = BAD. DATA = MISUNDERSTOOD?. SESSION OUTLINE. SESSION OUTLINE. SESSION OUTLINE. BIG DATA – QUÉ?. @AAM_Associates @andyhamflett . Coping with uncertain futures. Dr Christophe Lazaro (. UCLouvain. ). Dr Marco Rizzi (UWA Law School). Introduction – technological context. development of artificial intelligence (AI) and digitization of life . 1. UNOS Labs. 2. UPDATE: Understanding CIT Project. 3. Components of CIT . (not to scale). 4. Procurement. Transit. Transplant. Clamp Time. Departure. Offer . Acceptance. Delivery Time. Transplant Time. By . Shepherd Fungura, . BCom. , FASSA, FIA. President of Actuarial Society of Zimbabwe . Group Chief Risk Officer at Old Mutual Zimbabwe. @. Insurance Institute of Zimbabwe Winter School – Monday 22 August 2016.

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