Learning in the " Real World"

Abstract

In this paper we define and characterize the process of developing a “real-world” Machine Learning application, with its difficulties and relevant issues, distinguishing it from the popular practice of exploiting ready-to-use data sets. To this aim, we analyze and summarize the lessons learned from applying Machine Learning techniques to a variety of problems. We believe that these lessons, though primarily based on our personal experience, can be generalized to a wider range of situations and are supported by the reported experiences of other researchers.

Cite

Text

Saitta and Neri. "Learning in the " Real World"." Machine Learning, 1998. doi:10.1023/A:1007448122119

Markdown

[Saitta and Neri. "Learning in the " Real World"." Machine Learning, 1998.](https://mlanthology.org/mlj/1998/saitta1998mlj-learning/) doi:10.1023/A:1007448122119

BibTeX

@article{saitta1998mlj-learning,
  title     = {{Learning in the " Real World"}},
  author    = {Saitta, Lorenza and Neri, Filippo},
  journal   = {Machine Learning},
  year      = {1998},
  pages     = {133-163},
  doi       = {10.1023/A:1007448122119},
  volume    = {30},
  url       = {https://mlanthology.org/mlj/1998/saitta1998mlj-learning/}
}