| 000 -LEADER |
|---|
| fixed length control field |
03275nam a22003377a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20260811131702.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
260803b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781836831648 [hardbound] |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
University of Cebu-Banilad |
| Transcribing agency |
University of Cebu-Banilad |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Sterling, Miles, |
| Relator term |
author. |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Machine learning for beginners / |
| Statement of responsibility, etc |
Miles Sterling. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
First edition. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
London, United Kingdom : |
| Name of publisher, distributor, etc |
Vintage Press Ltd., |
| Date of publication, distribution, etc |
c2025. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
viii, 264 pages : |
| Other physical details |
color illustration ; |
| Dimensions |
24 cm. |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| 337 ## - MEDIA TYPE |
|---|
| Source |
rdamedia |
| Media type term |
unmediated |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type |
volume |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Contents: 1. Introduction to machine learning -- 2. Types of machine learning -- 3. Key concepts and terminology -- 4. Machine learning algorithms -- 5. Data collection and preprocessing -- 6. Introduction to python for machine learning -- 7. Exploratory data analysis (EDA) -- 8. AI and machine learning in eLearning -- 9. Data mining techniques. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"In embarking on the journey of understanding machine learning, I found myself both captivated and overwhelmed by the vastness of the field. It's a realm where mathematics, computer science, and real-world applications converge, transforming how we interact with technology and make decisions. This book, "Machine Learning for Beginners," is designed to bridge that gap for those who are just starting out.<br/><br/>Machine learning is not merely about algorithms and data; it's about discovering patterns, making predictions, and enabling machines to learn from experience. My aim is to demystify these concepts, breaking them down into digestible parts. Each chapter builds upon the last, offering practical examples and hands-on exercises that encourage exploration and experimentation.<br/><br/>As I delved into this subject, I realized the importance of a solid foundation. The book starts with essential principles, guiding readers through the fundamental concepts before diving into more complex topics. It is structured to be accessible, ensuring that even those without a technical background can grasp the material.<br/><br/>Throughout this work, I Iemphasize emphasize the t importance of a growth mindset. The landscape of machine learning is ever-evolving, and embracing curiosity and resilience is key to mastering its intricacies. Whether you aspire to enhance your career, fuel your creativity, or simply understand the technology shaping our world, this book is your starting point.<br/><br/>In this exploration of machine learning, my hope is to inspire a sense of wonder and possibility. By the end, you will not only have gained knowledge but also the confidence to continue your journey in this exciting field. Let's dive in and unlock the potential of machine learning together —Miles Sterling." --Preface |
| 521 ## - TARGET AUDIENCE NOTE |
|---|
| Target audience note |
Adult |
| 541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE |
|---|
| Source of acquisition |
Purchased |
| Deans/Chairperson |
Ortega, Eric |
| Department |
College of Computer Studies |
| Subject Category |
Computer Science |
| 546 ## - LANGUAGE NOTE |
|---|
| Language note |
Text in English |
| 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 |
Artificial intelligence. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Computer algorithms. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Type of record |
Book |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) |
|---|
| Encoded by |
Janna [new] |
| Date encoded |
08/03/2026 |
