Machine learning: (Record no. 297382)
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000 -LEADER | |
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fixed length control field | 02400nam a22001817a 4500 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 978938347463 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 006.31 |
Item number | CHA-M |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Chandra S S., Vinod & Hareendran S., Anand |
245 ## - TITLE STATEMENT | |
Title | Machine learning: |
Remainder of title | a practitioner's approach |
Statement of responsibility, etc. | By Vinod Chandra S. S. & Anand Hareendran S. |
250 ## - EDITION STATEMENT | |
Edition statement | 1st Ed. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Place of publication, distribution, etc. | Delhi: |
Name of publisher, distributor, etc. | PHI Learning Pvt. Ltd., |
Date of publication, distribution, etc. | c2021. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | i-xi+603p. |
500 ## - GENERAL NOTE | |
General note | Textbook |
505 ## - FORMATTED CONTENTS NOTE | |
Formatted contents note | 1 Introduction to Machine Learning<br/>2 Convergence and Regression<br/>3 Reasoning by Knowledge<br/>4 Supervised and Unsupervised Learning<br/>5 Reinforcement Learning<br/>6 Association Rule Mining<br/>7 Inductive Logic Programming<br/>8 Clustering<br/>9 Artificial Neural Networks<br/>10 Deep Learning<br/>11 Support Vector Machines<br/>12 Ensemble Classifier<br/>13 Fuzzy Network<br/>15 Nearest Neighbourhood<br/>16 Hidden Markov Models<br/>17 Statistical Classifiers<br/>18 Decision Trees<br/>19 Nature Inspired Learning<br/>Index |
520 ## - SUMMARY, ETC. | |
Summary, etc. | The present book is primarily intended for undergraduate and postgraduate students of computer science and engineering, information technology, and electrical and electronics engineering. It bridges the gaps in knowledge of the seemingly difficult areas of machine learning and nature inspired computing. The text is written in a highly interactive manner, which satisfies the learning curiosity of any reader. Content of the text has been diligently organized to offer seamless learning experience. The text begins with introduction to machine learning, which is followed by explanation of different aspects of machine learning. Various supervised, unsupervised, reinforced and nature inspired learning techniques are included in the textbook with numerous examples and case studies. Different aspects of new machine learning and nature inspired learning algorithms are explained in-depth. The well-explained algorithms and pseudocodes for each topic make this book useful for students. The book also throws light on areas like prediction and classification systems. <br/> Day to day examples and pictorial representations for deeper understanding of the subject<br/> Helps readers easily create programs/applications<br/> Research oriented approach<br/> More case studies and worked-out examples for each machine learning algorithm than any other book |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Computers › Neural Networks Computers / Intelligence (AI) & Semantics Computers / Neural Networks |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Book |
Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Checked out | Date last seen | Date last checked out | Price effective from | Koha item type |
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Dept. of Computational Biology and Bioinformatics | Dept. of Computational Biology and Bioinformatics | Processing Center | 20/04/2021 | 3 | 006.31 CHA-M | DCB3900 | 30/05/2024 | 30/05/2024 | 30/05/2024 | 20/04/2021 | Book |