KDnuggets™ News 14:n11, May 7

Features

• Interview: Michael Brodie on Industry Lessons, Knowledge Discovery, and Future Trends - May 6, 2014.
  The last part of our exclusive interview focuses on Industry Lessons, Knowledge Discovery, Privacy Issues, Expected Technical Developments in next 5 years and more.
• New Poll: What data types/sources you analyzed in the past 12 months? - Apr 29, 2014.
  New KDnuggets Poll is asking: What data types/sources you analyzed in the past 12 months? Please vote on www.kdnuggets.com .
• Poincare Conjecture, Perelman way, and Topology of social networks - May 3, 2014.
  We examine the connections between the $1 million proof of Poincare conjecture by a reclusive math genius and the topological behavior and information diffusion over social networks.
• Stanford Online Courses: Education + Advanced Skills = Awesome Career - May 6, 2014.
  With Stanford world-class online certificates, show advanced knowledge in Data Mining and Applications, Mining Massive Data Sets, and more. Enrollment for summer quarter open now till June 9.
• Experfy, Big Data Consulting Marketplace from Harvard - May 2, 2014.
  Good news for data experts - you have many new options with Experfy, a startup from Harvard Innovation Lab, which is a consulting marketplace where companies hire talent for Big Data, Analytics, and BI projects.
• PAW: Predictive Analytics World, Manufacturing, Chicago, June - May 6, 2014.
  PAW Chicago and PAW Manufacturing are the business events for predictive analytics professionals, managers and commercial practitioners, covering commercial deployment of predictive analytics, across industries, and dedicated to manufacturing. Special KDnuggets discount.
• Massachusetts releases Big Data Report 2014 - Apr 30, 2014.
  Massachusetts Big Data Report 2014 (free download) highlights state successes, including almost 500 Big Data companies, $2.5B invested, 5600 students graduating from 14 data science-related programs, and identifies key priorities and growth opportunities.

Opinions and Interviews

• Human Dynamics - Data Mining Mobile Phone Usage - May 6, 2014.
  Mobile phone usage contains a gold mine of insights. We examine what was learned about human social connections from the first-ever extensive study of social interactions in Mexico.
• Interview: Todd Holloway, Data Science Lead, Trulia - May 5, 2014.
  We discuss the responsibilities of Data Science and Analytics teams, significance of programming knowledge for data scientists, important soft skills, talent landscape in data science and more.
• Employee Churn 202: Good and Bad Churn - May 4, 2014.
  This post extends the "quantitative scissors" approach to employee churn and examines the factors that underlie attrition cost.
• Interview: Vasanth Kumar, Principal Data Scientist, Live Nation - May 2, 2014.
  We discuss challenges in analyzing bursty data, real-time classification, relevance of statistics and advice for newcomers to Data Science.
• Interview: Juan Miguel Lavista, Microsoft Data Science Team - Apr 30, 2014.
  We discuss Randomized Controlled Experiments, common errors during A/B testing, Correlation vs. Causality, Big Data Myths and setting up realistic expectations from Big Data and more...

Software

• Data Scientists Not Required: Promises the recently launched Alteryx Analytics 9.0 - May 4, 2014.
  Alteryx Analytics 9.0 blends new sources of customer Insight such as Social Media, Google Analytics, and Marketo with data from legacy environments such as SAS Analytics.

News

• Top stories for Apr 27 - May 3 - May 4, 2014.
  Cartoon: Data Scientist Salary Negotiation; 9 Free Books for Learning Data Mining and Data Analysis; MLTK: Machine Learning Toolkit in Java - free download; Mass Big Data Report 2014.
• Additions to KDnuggets Directory in April - May 4, 2014.
  24 new Big Data and Data Science meetings, analytic consulting companies, Virginia data, Data Science certificates, Dean Abbott book on Applied Predictive Analytics, and more.
• Top stories in April - May 2, 2014.
  Apache Spark, the hot new trend in Big Data; Data Analytics Handbook - interviews with tech leaders, free download; Learning and Teaching Machine Learning; 9 Free Books for Learning Data Mining and Data Analysis.

Webcasts and Webinars

• Upcoming Webcasts on Analytics, Big Data, Data Science - May 5 and beyond - May 5, 2014.
  SAS and Cloudera, Analytically Speaking, Data Mining: Failure To Launch, Deep Learning with H2O, Hadoop, WCAI Oppy: Purchase history to id customer projects, and more.
• Webinar: Data Mining: Failure to Launch [May 20] - May 6, 2014.
  Learn how to get started with predictive modeling and overcome strategic and tactical limitations that cause data mining projects to fall short of their potential. Next webinar is May 20.
• Deep Learning with H2O, May 21 Webcast - May 1, 2014.
  H2O is Google-scale open source machine learning engine for R and Big Data. Learn how Deep Learning in H2O is unlocking never before seen performance for prediction - May 21.
• WCAI Research Opportunity: Using Purchase History to Identify Customer Projects - May 3, 2014.
  Customers frequently purchase a collection of products to complete a specific project. A rich data set from a Fortune 500 Specialty Retailer will allow researchers to study this issue - register for May 28 webinar and submit your proposal afterwards.

Meetings

• PAW: Predictive Analytics World, Manufacturing, Chicago, June - May 6, 2014.
  PAW Chicago and PAW Manufacturing are the business events for predictive analytics professionals, managers and commercial practitioners, covering commercial deployment of predictive analytics, across industries, and dedicated to manufacturing. Special KDnuggets discount.
• May-Sep 2014 Meetings in Analytics, Big Data, Data Mining, and Data Science - May 5, 2014.
  Coming soon: Big Data Week in 30 cities, PASS Business Analytics (San Jose), PAW Toronto and Chicago, Business Analytics Innovation Summits, MMDS Berkeley, Useful Business Analytics Boston, KDD-2014 NYC, and much more.

Jobs

• DemandBase: Data Engineer - May 6, 2014.
  If you like to work on unique Big Data problems using leading edge technology, enjoy collaborative, friendly and flexible work environment, then join our innovative Data Engineering team.
• Microsoft: Sr. Software Development Engineer, Analysis and Experimentation Team - May 6, 2014.
  Build a world-class experimentation service that accelerates innovations for Bing and key partners in Microsoft by testing new ideas quickly and reliably.
• Apple: Senior Manager, Data Science & Machine Learning - May 5, 2014.
  Lead a world class data scientist team who leverage/develop innovative machine learning and data mining technologies for solving novel and diverse sets of problems.
• Liberty Mutual: Director II, Product Research OR Actuary - May 3, 2014.
  Work with Senior Management in applying statistical and analytical toolsets to solve significant business problems and improve financial results.
• Globys: Research Scientist - Data Mining and Customer Insights - May 1, 2014.
  Data Science experience of a lifetime: use Python to implement Machine Learning and complex analytics on Big Data for real-time marketing and meaningful insights.
• Microsoft: Data Scientist - Apr 30, 2014.
  Join a fast paced data science team in the Microsoft Cloud + Enterprise organization building machine learning powered intelligent web services.

Publications

• 3 Key Trends in the DBMS Market - May 3, 2014.
  The top 3 trends in DBMS include market consolidation, moving beyond OLTP, and distributed computing - we examine them in detail.

Top Tweets

• Top KDnuggets tweets, May 2-4 - May 5, 2014.
  Big List of Machine Learning, #DataScience, and Statistics Resources; 7 Free or low-cost ways to Learn Data Mining & Data Science; Datasight.io - machine learning for the masses - now in beta; Every MIT undergrad will get $100 of Bitcoin.
• Top KDnuggets tweets, Apr 30 - May 1 - May 2, 2014.
  Useful! Chart Cheat Sheet: When to use Bar, Stacked, Line, Donut, Choropleth; Microsoft Data Scientist; The Deep Dive: SAS vs. R: younger Data Scientists prefer R ; Massachusetts releases Big Data Report 2014.
• Top KDnuggets tweets, Apr 28-29 - Apr 30, 2014.
  9 Free Books for Learning Data Mining; Cartoon: Data Scientist Salary Negotiation; statsTeachR - great free resource; What every Data Scientist needs to know about SQL.

CFP - Calls for Papers

• ECML/PKDD-D: ECML/PKDD 2014 Call for Demos, due May 16
• UMAP 2014: 22nd Int. Conf. on User Modeling, Adaptation, and Personalization, due May 19
• ADKDD 2014: The 8th Int. Workshop on Data Mining for Online Advertising, due May 21
• MABSDA: Workshop on Multidisciplinary Approaches to Big Social Data Analysis, due May 31
• ECML/PKDD-P: ECML/PKDD 2014 Call for Panel Organizers, due Jun 6
• S4F: Searching 4 Fun! Workshop , due Jun 10
• ICTAI 2014: 26th IEEE Int. Conf. on Tools with Artificial Intelligence, due Jun 30
• PIKM: PhD workshop at ACM CIKM 2014, due Jul 30
• BD-DSG: Big Data Journal: Special Issue on Data for Social Good, due Oct 6

Quote