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KDnuggets™ News 14:n12, May 21



Features (11) | Software (4) | Opinions (9) | News (7) | Webcasts (1) | Courses (3) | Meetings and Reports (10) | Jobs (14) | Publications (11) | Tweets (6) | CFP (25) | Quote

Features

Software

Opinions and Interviews

News

  • Top stories for May 11-17 - May 19, 2014.
    Guide to Data Science Cheat Sheets; Watch: Basics of Machine Learning; Cartoon: Data Visualization meets 3-D Printer; Social Media and Web Analytics Innovation Summit 2014 Highlights.
  • Top stories for May 4-10 - May 11, 2014.
    Data Scientists Not Required with Alteryx Analytics 9.0; 9 Free Books for Learning Data Mining and Data Analysis; Exclusive Interview: Todd Holloway, Data Science Lead, Trulia; Did Target really predict teen pregnancy?
  • Predict Soccer World Cup 2014 Winner, Get Prizes from RapidMiner - May 16, 2014.
    Use a free edition of RapidMiner to have fun and bring sports predictions to another level by making a prediction of Soccer (Futbol) World Cup 2014, which starts on June 12 in Brazil.
  • KDD Cup 2014 - Predicting Excitement at DonorsChoose.org - May 16, 2014.
    Predict which Donor Choose projects will be exciting. 2014 edition of KDD Cup, the first data mining competition, is on Kaggle. Submissions due June 15.
  • NineSigma Big Data Analytics RFP - May 9, 2014.
    NineSigma is seeking proposals for mining user browsing/operations history, social networking services, and sensing devices to improve personalization and recommendation of products. Submit by May 23, 2014.
  • April 2014 Analytics, Big Data, Data Mining Acquisitions and Startups Activity - May 8, 2014.
    April 2014 acquisitions, startups, and company activity in Analytics, Big Data, Data Mining, and Data Science: Experfy, Dunnhumby, NexGraph, Fundbox, FICO, Gnip, Fliptop, InBloom, Jaspersoft, and more.
  • Did Target Really Predict a Teen's Pregnancy? The Inside Story - May 7, 2014.
    We examine the origin and the facts behind this explosive story, the importance of headlines, and how unsubstantiated assumptions gain traction and mainstream attention and help create myths around Predictive Analytics.

Webcasts and Webinars

Courses

Meetings and Reports

Jobs

  • Apple: Data Mining Scientist - May 19, 2014.
    Outstanding data mining scientist, help design, develop, and field data mining solutions that have direct and measurable impact to Apple.
  • RichRelevance: Marketing and Merchandising Analyst - May 17, 2014.
    Data integration, report automation, and ad hoc analysis using RichRelevance multi-petabyte database containing event-level data on hundreds of millions of shoppers and millions of products.
  • FirstFuel: Data Scientist - May 16, 2014.
    FirstFuel Software is using energy analytics to help utilities and government agencies deliver scalable energy efficiency. Data Scientist will develop state of the art Statistical/Machine Learning algorithms and deploy them to a scalable, secure, cloud-based architecture.
  • Best Practice Partners: Principal Consultant, Healthcare Economics - May 16, 2014.
    Lead the development of the client healthcare economics and risk adjustment services to assist in validating and ensuring compliance and accuracy of high-risk clinical profiles.
  • Amazon, Customer Segmentation and Targeting: Machine Learning/Research Scientists (All Levels) - May 14, 2014.
    Work on the world's richest collection of online shopping and in-device data to segment and target customers via email, social, mobile and display to support sales, advertising and loyalty applications.
  • Akanoo: Sr. Software Engineer - Data Mining Scientist - May 13, 2014.
    Explore a dynamic, young business, work alongside bright minds, research and develop predictive models, and optimize algorithms for behavioral on-site targeting.
  • eSpark: Data Scientist (Make an impact on a social problem) - May 10, 2014.
    Help build the next generation of tools to help students succeed in school and in life. Using data and teacher insight, we curate the best learning resources to create a personalized experience for each student.
  • Large Investment Firm: Data Scientist / Statistician / Programmer - May 9, 2014.
    Use both analytical and creative approaches to solve unstructured questions related to quantifying the risks and drivers of growth of publicly traded companies.
  • Macy's: Director of Finance and Loyalty Analysis - May 9, 2014.
    Establishing measurements and analytics to evaluate the impact of Loyalty initiatives on both credit and third party customers, developing strategies to report and analyze customer behavior.
  • Amazon (Europe): Business Analysts - May 9, 2014.
    Support different Amazon businesses, develop innovative solutions for growth, diverse work with opportunity to grow in technical and non-technical directions. Relocation and visa support.
  • Enova: Sr. Data Scientist - May 8, 2014.
    Responsible for automating current processes and researching systems in data management while supporting the Credit Risk Analytics, Business Analytics, Fraud Analytics and Marketing Analytics teams.
  • dunnhumby: Director, Advanced Analytics & Predictive Modeling - May 8, 2014.
    Lead a team with 3 Directors with 20 analysts, modelers and production specialists involved with a balance of innovation and daily production to deliver targeted relevant offers to build customer loyalty and retention.
  • JCA: Consultant, Development Expertise - May 7, 2014.
    JCA provides strategic consulting to the world leading nonprofits and helps them work smarter. The Consultant provides overall direction to the project team, manages client relationship, and helps identify new business opportunities.
  • CollegeBoard: Data Scientist - May 7, 2014.
    Help make better decisions using existing data for clients like SAT and Advanced Placement, with projects like segmentation and targeting, analysis and interpretation of survey data, and data visualization.

Publications

Top Tweets

  • Top KDnuggets tweets, May 16-18 - May 19, 2014.
    Great find! Intro. to Data Science, v2 (170 pages), free download; Why code written by scientists gets ugly; A Statistician's View on #BigData and Data Science - updated; CIOReview Top 100 Most Promising Big Data Companies.
  • Top KDnuggets Tweets, May 14-15 - May 16, 2014.
    Facebook Network analysis, visualization is easier with httr from R wizard; Cloudera Live offers a new way start with #Hadoop - No downloads; Watch: Basics of Machine Learning ; BigML Machine Learning platform Spring Release.
  • Top KDnuggets tweets, May 12-13 - May 14, 2014.
    Guide to Data Science Cheat Sheets; Clever hack: How to analyze Facebook Networks using R; Very useful - Introduction to #SQL for Data Scientists; Planning a late career shift to Analytics /Data Science? Be prepared.
  • Top KDnuggets tweets, May 9-11 - May 12, 2014.
    Data Mining for Statisticians ; For teachers (and students) of #MachineLearning - Slides for LIONbook; Build a word cloud using R text mining tools - step-by-step; Graph Theory: Key to Understanding #BigData - graphs are not just for Google or eBay.
  • Top KDnuggets tweets, May 7-8 - May 9, 2014.
    30 Simple Tools for Data and Geo-Visualization: iCharts, Fusion, Modest Maps, ...; Did Target Really Predict a Teen's Pregnancy? The Inside Story; Sense, new Data Science startup, builds a Data Science Platform of the Future; Analytics Experts on #BigData Misconceptions.
  • Top KDnuggets tweets, May 5-6 - May 7, 2014.
    xkcd looks at Love and Statistics: Why it is important to label your axes; Analytics job applicants - avoid these common mistakes; Stanford Online Courses: Education + Advanced Skills = Awesome Career; Landmark for AI: computer system solves Algebra word problems.

CFP - Calls for Papers

Quote

Firms are no longer hiring for skills, they are hiring for the ability to learn new skills Prasanna Tambe, Asst. Prof. NYU Stern School of Business, in Data Analytics Handbook, part 3