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