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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.

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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Barcode Shelf Location Collection Volume Ref. Branch Status Due Date Res.
10034312 QA76.87.S67.2022
 Computer Science   GUtech Library . . *, Long Overdue . 20 Feb 2023
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Catalogue Information
Field name Details
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.
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