- Do you have domain knowledge? If yes, construct a better set of “ad hoc” features.
- Are your features commensurate? If no, consider normalizing them.
- Do you suspect interdependence of features? If yes, expand your feature set by constructing conjunctive features or products of features, as much as your computer resources allow you (see example of use in Section 4.4).
Arrow is a columnar in-memory analytics framework that provides the performance benefits of modern techniques while also providing the flexibility of complex data and dynamic schemas. Arrow grew out of three prevailing trends and business requirements:
CALL FOR PAPERS
Paper submission deadline: February 28, 2016
Nello Cristianini, Bristol University, UK
Stephen H. Muggleton, Imperial College London, UK
Other Keynote Speakers will be announced soon
Watch out folks - there is a new breed of health analytics firms sprouting like weeds - mining "big data" about you and making broad and bold predictions about your state of health to make workplace decisions.
Our software partners Linkurious were excited to dive in to the VW emissions scandal case we have prepared and documented their findings in this great article, keep reading or visit the source of this article Here
Al Roth won the Nobel Prize for "matching" and the design of new types of markets. The Gale-Shapley algorithm is a cornerstone of the matching methods Al Roth pioneered. The algorithm has been extended by Roth and others to apply "Matching Theory" to design matching markets solving real world problems like matching students to the right schools.