I just participated in a webinar entitled “Machine Learning for Hackers” by two current Ph.D. students, psychologist John Myles White of Princeton and political scientist Drew Conway of New York University.
To be honest, I was underwhelmed by their presentation. The MLH title had me anticipating exposure to the latest machine learning techniques, or perhaps ingenious applications of ML methods in business, or maybe even a new software implementation from open source “hackers.” Instead, most of the hour was devoted to the vanilla statistical methods of linear and logistic regression implemented in core R. You need only Google “linear regression with R” and “logistic regression with R” to see how those topics have already saturated the predictive analytics knowledgebase.
Register or login for access to this item and much more
All Information Management content is archived after seven days.
Community members receive:
- All recent and archived articles
- Conference offers and updates
- A full menu of enewsletter options
- Web seminars, white papers, ebooks
Already have an account? Log In
Don't have an account? Register for Free Unlimited Access