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Recent trends in learning from data ...

INNS Big Data and Deep Learning Conference ((2019 :)

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Recent trends in learning from data/ edited by Luca Oneto ... [et al.].
其他題名:	tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019) /
其他題名:	INNSBDDL 2019
其他作者:	Oneto, Luca.
團體作者:	INNS Big Data and Deep Learning Conference
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	vii, 221 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Big data - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-030-43883-8
ISBN:	9783030438838

Recent trends in learning from data = tutorials 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.896..

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

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

3166510
Big data
--Congresses.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

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