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The Unreasonable Effectiveness of Data
March/April 2009 (vol. 24 no. 2)
pp. 8-12
ASCII Text
x 
 
Alon Halevy, Peter Norvig, Fernando Pereira, "The Unreasonable Effectiveness of Data," IEEE Intelligent Systems, vol. 24, no. 2, pp. 8-12, March/April, 2009.
 
 
BibTex
x
 
@article{ 10.1109/MIS.2009.36,
author = {Alon Halevy and Peter Norvig and Fernando Pereira},
title = {The Unreasonable Effectiveness of Data},
journal ={IEEE Intelligent Systems},
volume = {24},
number = {2},
issn = {1541-1672},
year = {2009},
pages = {8-12},
doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2009.36},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Intelligent Systems
TI - The Unreasonable Effectiveness of Data
IS - 2
SN - 1541-1672
SP8
EP12
EPD - 8-12
A1 - Alon Halevy,
A1 - Peter Norvig,
A1 - Fernando Pereira,
PY - 2009
KW - machine learning
KW - very large data bases
KW - Semantic Web
VL - 24
JA - IEEE Intelligent Systems
ER -
 
Alon Halevy, Google
Peter Norvig, Google
Problems that involve interacting with humans, such as natural language understanding, have not proven to be solvable by concise, neat formulas like F = ma. Instead, the best approach appears to be to embrace the complexity of the domain and address it by harnessing the power of data: if other humans engage in the tasks and generate large amounts of unlabeled, noisy data, new algorithms can be used to build high-quality models from the data.

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Index Terms:
machine learning, very large data bases, Semantic Web
Citation:
Alon Halevy, Peter Norvig, Fernando Pereira, "The Unreasonable Effectiveness of Data," IEEE Intelligent Systems, vol. 24, no. 2, pp. 8-12, March-April 2009, doi:10.1109/MIS.2009.36
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