Practical Machine Learning with Python: (Record no. 222512)
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| fixed length control field | 04197nam a22005535i 4500 |
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| control field | ssj0001931061 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | WaSeSS |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240529141948.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
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| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr n |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 171221s2018 xxu| o |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781484232071 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-1-4842-3207-1 |
| Source of number or code | doi |
| 040 ## - CATALOGING SOURCE | |
| Modifying agency | WaSeSS |
| Transcribing agency | AIMIT LIBRARY |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | Q334-342 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYQ |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM004000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYQ |
| Source | thema |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 |
| Edition number | 1 |
| Item number | SARD |
| 092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC) | |
| Classification number | EBOOK |
| 999 ## - SYSTEM CONTROL NUMBERS (KOHA) | |
| Koha Dewey Subclass [OBSOLETE] | 03658617 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Sarkar, Dipanjan |
| 9 (RLIN) | 30573 |
| 245 10 - TITLE STATEMENT | |
| Title | Practical Machine Learning with Python: |
| Remainder of title | problem-solver's guide to building real-world intelligent systems / |
| Statement of responsibility, etc. | By Dipanjan Sarkar, Raghav Bali and Tushar Sharma. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Berkeley, CA : |
| Name of publisher, distributor, etc. | Apress : |
| -- | Imprint: Apress, |
| Date of publication, distribution, etc. | 2018. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XXV,530p. ; |
| Other physical details | PB |
| Dimensions | 23.5 cm |
| 347 ## - DIGITAL FILE CHARACTERISTICS | |
| File type | text file |
| Encoding format | |
| Source | rda |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Chapter 1: Machine Learning Basics -- Chapter 2: The Python Machine Learning Ecosystem -- Chapter 3: Processing, Wrangling and Visualizing Data.-Chapter 4: Feature Engineering and Selection -- Chapter 5: Building, Tuning and Deploying Models.-Chapter 6: Analyzing Bike Sharing Trends -- Chapter 7: Analyzing Movie Reviews Sentiment -- Chapter 8: Customer Segmentation and Effective Cross Selling -- Chapter 9: Analyzing Wine Types and Quality -- Chapter 10: Analyzing Music Trends and Recommendations -- Chapter 11: Forecasting Stock and Commodity Prices -- Chapter 12: Deep Learning for Computer Vision. |
| 506 ## - RESTRICTIONS ON ACCESS NOTE | |
| Terms governing access | Requires an SPL library card. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner. The concepts, techniques, tools, frameworks, and methodologies used in this book will teach you how to think, design, build, and execute machine learning systems and projects successfully. Practical Machine Learning with Python follows a structured and comprehensive three-tiered approach packed with hands-on examples and code. Part 1 focuses on understanding machine learning concepts and tools. Part 2 details standard machine learning pipelines, with an emphasis on data processing analysis, feature engineering, and modeling. Part 3 explores multiple real-world case studies spanning diverse domains and industries like retail, transportation, movies, music, marketing, computer vision and finance. Practical Machine Learning with Python will empower you to start solving your own problems with machine learning today! You will: Execute end-to-end machine learning projects and systems Implement hands-on examples with industry standard, open source, robust machine learning tools and frameworks Review case studies depicting applications of machine learning and deep learning on diverse domains and industries Apply a wide range of machine learning models including regression, classification, and clustering. |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | Mode of access: World Wide Web. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial intelligence |
| 9 (RLIN) | 30574 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Python (Computer program language) |
| 9 (RLIN) | 30575 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Open source software |
| 9 (RLIN) | 30576 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer programming |
| 9 (RLIN) | 30577 |
| 655 #7 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| Source of term | local |
| 9 (RLIN) | 30578 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Bali, Raghav. |
| 9 (RLIN) | 30579 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Sharma, Tushar. |
| 9 (RLIN) | 30580 |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 9 (RLIN) | 30581 |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | O'Reilly (Firm) |
| 9 (RLIN) | 30582 |
| 710 20 - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Serials Solutions |
| 9 (RLIN) | 30583 |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer eBooks |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9781484232064 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9781484232088 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9781484240496 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Link text | View this electronic item in O'Reilly Online Learning: Academic/Public Library Edition. |
| Uniform Resource Identifier | <a href="https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484232071/?ar">https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484232071/?ar</a> |
| Public note | An e-book available through full-text database. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Book |
| Edition | 1st |
| Call number prefix | 006.31 SARD |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Inventory number | Total Checkouts | Full call number | Barcode | Date last seen | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | MCA | St Aloysius Institute of Management & Information Technology | St Aloysius Institute of Management & Information Technology | 03/24/2022 | Biblios Book Point | 1599.00 | Bill no:6623; Bill dt:2022-03-22 | 006.31 SARD | MCA17071 | 07/21/2025 | 1279.00 | 04/20/2022 | Book |
