PPT-PayPal Notebooks Data science and machine learning at scale, powered by Jupyter

2018 PayPal Inc Confidential and proprietary Romit Mehta Praveen Kanamarlapudi August 24 2018 Agenda Introductions PayPal Key Metrics and analytics ecosystem Enabling data science at scale. Notebooks. Sally Creel . – . Sally.creel@cobbk12.org. . Your Guide to using . Interactive Notebooks. Essential Question: . EQ: . H. ow. do I use interactive notebooks to engage students and maximize learning in my classroom?. to Speech . EE 225D - . Audio Signal Processing in Humans and Machines. Oriol Vinyals. UC Berkeley. This is my biased view about deep learning and, more generally, machine learning past and current research!. Jimmy Lin and Alek . Kolcz. Twitter, Inc.. Presented by: Yishuang Geng and Kexin Liu. 2. Outline. •Is twitter big data? . •How . can machine learning help twitter?. •Existing challenges?. •Existing literature of large-scale learning. Chong Ho Yu. What is data mining?. Data mining (DM) is a cluster of techniques, including decision trees, artificial neural networks, and clustering, which has been employed in the field Business Intelligence (BI) for years.. CS539. Prof. Carolina Ruiz. Department of Computer Science . (CS). & Bioinformatics and Computational Biology (BCB) Program. & Data Science (DS) Program. WPI. Most figures and images in this presentation were obtained from Google Images. Prabhat. Data Day. August 22, 2016. Roadmap. Why you should care about Machine Learning?. Trends in Industry. Trends in Science . What is Machine Learning?. Taxonomy. Methods. Tools (Evan . Racah. ). Madan Musuvathi. . Visiting Professor, UCLA . Principal Researcher, Microsoft Research. Course Project. Write-ups due June 1. st. Project presentations . 12 presentations, 10 mins each, 15 min slack. Janice Belcher . – . Janice.belcher@cobbk12.org. Sally Creel . – . Sally.creel@cobbk12.org. . Your Guide to using . Interactive Notebooks. Essential Question: . H. ow. do I use interactive notebooks to engage students and maximize learning in my classroom?. with Eliezer Kanal and Brian . Lindauer. Copyright 2016 Carnegie Mellon University. This material is based upon work funded and supported by the Department of Defense under Contract No. FA8721-05-C-0003 with Carnegie Mellon University for the operation of the Software Engineering Institute, a federally funded research and development center.. Page 46 L istening to the voice of customers plays a prominent role in a customer-centric business strategy. But with the business environment’s increased complexity and dynamism for a customer- for. Jianlin Cheng, PhD. Computer Science Department, University of Missouri, Columbia. Center. Importance of Machine Learning and Data Mining. Computer Science . (AI, database, robotics, vision, image processing, . Dangers and Opportunities. Davide Faranda . CNRS – LSCE. M. Vrac, P. . Yiou. , F.M.E. Pons, A. . Hamid, G. . . Carella. , . C.G. . Ngoungue. . Langue, S. . Thao, V. . Gautard. IN2P3-IRFU. Context. Institute of High Energy Physics, CAS. Wang Lu (Lu.Wang@ihep.ac.cn). Agenda. Introduction. Challenges and requirements of anomaly detection in large scale storage systems . Definition and category of anomaly. Sylvia Unwin. Faculty, Program Chair. Assistant Dean, iBIT. Machine Learning. Attended TDWI in Oct 2017. Focus on Machine Learning, Data Science, Python, AI. Started with a catchy opening speech – “BS-Free AI For Business”.