Final published version
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review
}
TY - CHAP
T1 - Introduction
AU - Angelov, P.P.
AU - Gu, X.
PY - 2019
Y1 - 2019
N2 - Today we live in a data-rich environment. This is dramatically different from the last century when the fundamentals of machine learning, control theory and related subjects were established. Nowadays, vast and exponentially increasing data sets and streams which are often non-linear, non-stationary and increasingly more multi-modal/heterogeneous (combining various physical variables, signals with images/videos as well as text) are being generated, transmitted and recorded as a result of our everyday live. This is drastically different from the reality when the fundamental results of the probability theory, statistics and statistical learning where developed few centuries ago. © 2019, Springer Nature Switzerland AG.
AB - Today we live in a data-rich environment. This is dramatically different from the last century when the fundamentals of machine learning, control theory and related subjects were established. Nowadays, vast and exponentially increasing data sets and streams which are often non-linear, non-stationary and increasingly more multi-modal/heterogeneous (combining various physical variables, signals with images/videos as well as text) are being generated, transmitted and recorded as a result of our everyday live. This is drastically different from the reality when the fundamental results of the probability theory, statistics and statistical learning where developed few centuries ago. © 2019, Springer Nature Switzerland AG.
U2 - 10.1007/978-3-030-02384-3_1
DO - 10.1007/978-3-030-02384-3_1
M3 - Chapter (peer-reviewed)
SN - 9783030023836
VL - 800
T3 - Studies in Computational Intelligence
SP - 1
EP - 14
BT - Empirical Approach to Machine Learning
A2 - Angelov, Plamen
A2 - Gu, Xiaowei
PB - Springer-Verlag
ER -