@joe_Caserta #DataSummithttps://github.com/Caserta-Concepts/ds-workshop Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. Joe Caserta Data Science is the area of study which involves extracting insights from vast amounts of data by the use of various scientific methods, algorithms, and processes. 1. Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. Now customize the name of a clipboard to store your clips. It helps you to discover hidden patterns from the raw data. Extraction of knowledge from large volumes of data that are structured or unstructured. WSO2 Inc. If you wish to opt out, please close your SlideShare account. 10/16: Pandas IO example code is uploaded. See our Privacy Policy and User Agreement for details. President Looks like you’ve clipped this slide to already. Lecture Notes: Introduction to Data Science CMSC320, University of Maryland, College Park. You can change your ad preferences anytime. Learn more. If you wish to opt out, please close your SlideShare account. Integrating the CDO Role Into Your Organization; Managing the Disruption (MIT... Architecting Data For The Modern Enterprise - Data Summit 2017, Closing Keynote, Dama Day May 18 2017 Integrating Heterogeneous Data, Introduction to Data Science (Data Summit, 2017), Looker Data Modeling in the Age of Cloud - BDW Meetup May 2, 2017, No public clipboards found for this slide. One of the most respected data scientist I know says 90% of her ML work uses regression analysis, When the outcome is a real number then it is a regression tree, Memory: Uses rating data to compute the similarity between users or items, Challenges: sparse data effects performance of recommendation. 10/15: HW3 is available. Data Science Topics databases and data architectures databases in the real world scaling, data quality, distributed machine learning/data mining/statistics ... – A free PowerPoint PPT presentation (displayed as a Flash slide show) on PowerShow.com - id: 529421-ZTAwN Supervised learning: finds patterns over time and predicts what might happen next. ... they may be more helpful in explaining complicated data science projects to business people, technicians or engineers, as well as management level. What is Data Science? Introduction to Data Introduction to Data Science and Analytics Summer School 2015 Srinath Perera VP Research WSO2 Inc. 2. Héctor Corrada Bravo. Learn more. As of this date, Scribd will manage your SlideShare account and any content you may have on SlideShare, and Scribd's General Terms of Use and Privacy Policy will apply. Looks like you’ve clipped this slide to already. No public clipboards found for this slide, Introduction to Data Science and Analytics, Associate Professor at Ifes - Instituto Federal do Espírito Santo, Ifes - Instituto Federal do Espírito Santo. Workshop with Joe Caserta, President of Caserta Concepts, at Data Summit 2015 in NYC. data for Q2., data for Q3. Skillshare - Introduction to Data Scraping, Using Machine Learning & Spark to Power Data-Driven Marketing. If you continue browsing the site, you agree to the use of cookies on this website. The term Data Science has emerged because of the evolution of mathematical statistics, data analysis, and big data. Creating a DevOps Practice for Analytics -- Strata Data, September 28, 2017, General Data Protection Regulation - BDW Meetup, October 11th, 2017. If you need close hand holding and guidance – an easy going MOOC is probably the best place to start. It will discuss how to build a pipeline for your organization and for each use case, and the technology and tooling choices that need to be made for the same. If you continue browsing the site, you agree to the use of cookies on this website. Introduction to Data Science was originally developed by Prof. Tim Kraska. 9/24: HW2 is available. Srinath Perera If you continue browsing the site, you agree to the use of cookies on this website.