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Recent trends in learning from datat...

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Recent trends in learning from datatutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019) /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Recent trends in learning from dataedited by Luca Oneto ... [et al.].
Reminder of title:	tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019) /
remainder title:	INNSBDDL 2019
other author:	Oneto, Luca.
corporate name:
Published:	Cham :Springer International Publishing :2020.
Description:	vii, 221 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Big dataCongresses.
Online resource:	https://doi.org/10.1007/978-3-030-43883-8
ISBN:	9783030438838$q(electronic bk.)

Recent trends in learning from datatutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019) /
Recent trends in learning from datatutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019) /[electronic resource] :INNSBDDL 2019edited by Luca Oneto ... [et al.]. - Cham :Springer International Publishing :2020. - vii, 221 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.8961860-949X ;. - Studies in computational intelligence ;v. 216..

Introduction: Recent Trends in Learning From Data -- Learned data structures -- Deep Randomized Neural Networks -- Tensor Decompositions and Practical Applications -- Deep learning for graphs -- Limitations of Shallow Networks -- Fairness in Machine Learning -- Online Continual Learning on Sequences.

This book offers a timely snapshot and extensive practical and theoretical insights into the topic of learning from data. Based on the tutorials presented at the INNS Big Data and Deep Learning Conference, INNSBDDL2019, held on April 16-18, 2019, in Sestri Levante, Italy, the respective chapters cover advanced neural networks, deep architectures, and supervised and reinforcement machine learning models. They describe important theoretical concepts, presenting in detail all the necessary mathematical formalizations, and offer essential guidance on their use in current big data research.

ISBN: 9783030438838$q(electronic bk.)

Standard No.: 10.1007/978-3-030-43883-8doiSubjects--Topical Terms:

592065
Big data
--Congresses.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

Recent trends in learning from datatutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019) /
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