Advancing Analytics to Machine Learning

Things are changing in  advanced analytics.   Simple statistics  is not enough anymore.  An example from Orbitz.  Read the whole article:    "... I lead the traditional statistical modelers as well as the chief scientist and the machine learning (ML) crew. At Orbitz, we have found value in incorporating both types of data mining professionals (machine learners and statistical modelers) because many problems are well-suited for both camps. For example, the statistical modelers effectively address areas such as marketing mix analysis, predictive models across online marketing channels, customer lifetime value models, churn models, credit card fraud models, etc. Similarly, the machine learning staff deploys their algorithms in areas leveraging Big Data, where system feedback is leveraged to quickly learn from patterns in order to self-improve – areas such as the Hotel Recommendation Engine and Hotel Sort  on the Orbitz Web site. ..."