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Essentials of deep learning and ai. experience unsupervised learning, autoencoders, feature... engineering, and time series analysis with tensorflow, keras, and scikit-learning.
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Catalogue Record 14783
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10034312
QA76.87.S67.2022
Computer Science
GUtech Library
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*, Long Overdue
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20 Feb 2023
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ISBN
9789391030353
Language
E
Shelf Location
QA76.87.S67.2022
Author
Soppin, Shashidhar
Title
Essentials of deep learning and ai. : experience unsupervised learning, autoencoders, feature... engineering, and time series analysis with tensorflow, keras, and scikit-learning.
Publisher
India. : BPB , 2022.
Description
367p.: col. ill. ; 23 cm.
Specific Type of Material
Book
Contents
Introduction.-- Supervised machine learning.-- System analysis with machine learning / un-supervised learning.--Feature engineering.-- Classifications, clustering, association rules, and regression.-- Time series analysis,-- Data cleanup characteristics and feature selection.-- ensemble model development.-- Design with deep learning.-- Design with multi layered perceptron (MLP).-- Long short term memory networks.-- Autoencoders.-- Applications.-- of machine learning and deep learning.-- Emerging and future technologies.-- Index.--
Subject
Neural computers
Machine learning techniques
Artificial intelligence
Other name(s)
Ramachandra, Manjunath. Chandrashekar, B N.
Links to Related Works
Subject References:
Artificial intelligence
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Machine learning techniques
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Neural computers
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Authors:
Ramachandra, Manjunath. Chandrashekar, B N.
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Soppin, Shashidhar
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