2014 Apr Opinions, Interviews

• KDnuggets 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...

  A/B Testing, Big Data Hype, Correlation, Interview, Juan Lavista, Microsoft

• KDnuggets Interview: Michael Brodie on Data Curation, Cloud Computing, Startup Quality, Verizon (part 2) - Apr 28, 2014.
  The second part of our exclusive interview focuses on Data Curation, Cloud Computing, Data Tamer and Jisto startups, and his experience as a chief Scientist of Verizon - and how that relates to teenager never tidying a room for 60 years.

  Cloud Computing, Data Curation, Data Tamer, Jisto, Michael Brodie, Startups, Verizon, Virtualization

• Exclusive Interview: David Stringfellow, Chief Economist, State Utah Auditor - Apr 25, 2014.
  We discuss Analytics for Public Policy decisions, responsibilities of Utah Chief Data Officer, crowdsourcing analytics for resolving Government problems and most important skills for data science practitioners.

  Crowdsourcing, David Stringfellow, Economist, Government, Privacy, Public Policy, Skills, Utah

• Are Big Data and Privacy at odds? FICO Interview - Apr 23, 2014.
  We discuss privacy, FICO scores, balancing predictive power and non-discrimination, whether technology bringing big data and privacy closer, and most important privacy issues for FICO.

  Andrew Jennings, Credit Risk, FICO, Marketplace, Privacy

• Exclusive Interview: Michael Brodie, Leading Database Researcher, Industry Leader, Thinker - Apr 21, 2014.
  We discuss the most important database research advances, industry developments, role of relational, NoSQL, Graph databases, Computing Reality, and more.

  Computing Reality, Hadoop, Interview, Michael Brodie, NoSQL, Relational Databases

• Exclusive Interview: Peter Bruce, President Statistics.com - Apr 17, 2014.
  We discuss the mission of Statistics.com, selection of analytics courses and certificates, the future of analytics education, MOOCs, are Statistics disconnected from Big Data, the role of a data scientist, and more.

  Analytics, Certificate, MOOC, Online Education, Peter Bruce, Predictions, Statisticians, Statistics.com

• Beyond the Science of Data Science - Apr 8, 2014.
  The difference between what is required being a successful analytics consultant and what is taught in school.

  Analytics Consultant, Data Science, Graph Theory, Network Maps

• Learning and Teaching Machine Learning: A Personal Journey - Apr 5, 2014.
  Joseph Barr examines history and origins of Machine Learning and Artificial Intelligence and recounts his personal journey from statistics to industry to teaching machine learning and running R on Unix clusters.

  Analytics, Machine Learning, Perceptron, Statistics

• Employee Churn 201: Calculating Employee Value - Apr 4, 2014.
  Much has been written about customer churn. This post examines employee churn - an equally important problem and its unique dynamics.

  Employee Churn, Employee Value, GitHub, Pasha Roberts, R, Talent Analytics

• HP Perspective on Big Data and Analytics: Interview with Mazhar Hussain - Apr 3, 2014.
  KDnuggets talks with Mazhar Hussain, HP Big Data & Analytics Services Leader, on key topics for the industry and 4 next big areas in Big Data.

  Apache Spark, HP, Internet of Things, Privacy, Security, Vertica

• Exclusive: Interview with Sriram Sankar – LinkedIn Economic Graph - Apr 2, 2014.
  KDnuggets talks with Sriram Sankar, Principal Staff Engineer at LinkedIn about LinkedIn’s “Economic Graph”, Entity-Oriented Search, and the biggest challenges towards delivering relevant, personalized search results.

  Economic Graph, Entity-Oriented Search, Knowledge Graph, LinkedIn, Search Infrastructure