Python machine learning by example: (Record no. 3654)
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000 -LEADER | |
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fixed length control field | 01974nam a22002057a 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20221027112838.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 221027b ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781789616729 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 005.133 |
Item number | LIU |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Liu, Yuxi |
245 ## - TITLE STATEMENT | |
Title | Python machine learning by example: |
Remainder of title | implement machine learning algorithms and techniques to build intelligent systems |
250 ## - EDITION STATEMENT | |
Edition statement | 2nd |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher, distributor, etc. | Packt Publishing |
Place of publication, distribution, etc. | Birmingham |
Date of publication, distribution, etc. | 2019 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | vi, 355 p. |
365 ## - TRADE PRICE | |
Price type code | USD |
Price amount | 36.99 |
520 ## - SUMMARY, ETC. | |
Summary, etc. | About this book<br/>The surge in interest in machine learning (ML) is due to the fact that it revolutionizes automation by learning patterns in data and using them to make predictions and decisions. If you’re interested in ML, this book will serve as your entry point to ML.<br/><br/>Python Machine Learning By Example begins with an introduction to important ML concepts and implementations using Python libraries. Each chapter of the book walks you through an industry adopted application. You’ll implement ML techniques in areas such as exploratory data analysis, feature engineering, and natural language processing (NLP) in a clear and easy-to-follow way.<br/><br/>With the help of this extended and updated edition, you’ll understand how to tackle data-driven problems and implement your solutions with the powerful yet simple Python language and popular Python packages and tools such as TensorFlow, scikit-learn, gensim, and Keras. To aid your understanding of popular ML algorithms, the book covers interesting and easy-to-follow examples such as news topic modeling and classification, spam email detection, stock price forecasting, and more.<br/><br/>By the end of the book, you’ll have put together a broad picture of the ML ecosystem and will be well-versed with the best practices of applying ML techniques to make the most out of new opportunities. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Machine learning |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Python (Computer program language) |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | Book |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Bill No | Bill Date | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Total Renewals | Full call number | Accession Number | Date last seen | Date checked out | Copy number | Cost, replacement price | Price effective from | Koha item type |
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Dewey Decimal Classification | IT & Decisions Sciences | 369/22-23 | 12-10-2022 | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 10/27/2022 | T V Enterprises | 2011.34 | 2 | 2 | 005.133 LIU | 003427 | 08/07/2023 | 07/08/2023 | 1 | 3059.07 | 10/27/2022 | Book |