000			03275nam a22003377a 4500
003			OSt
005			20260811131702.0
008			260803b |||||||| |||| 00| 0 eng d
020			_a9781836831648 [hardbound]
040			_aUniversity of Cebu-Banilad _cUniversity of Cebu-Banilad
100			_aSterling, Miles, _eauthor.
245			_aMachine learning for beginners / _cMiles Sterling.
250			_aFirst edition.
260			_aLondon, United Kingdom : _bVintage Press Ltd., _cc2025.
300			_aviii, 264 pages : _bcolor illustration ; _c24 cm.
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
504			_aIncludes bibliographical references and index.
505			_aContents: 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			_a"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. 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. 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. 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. 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			_aAdult
541			_aPurchased _xOrtega, Eric _yCollege of Computer Studies _zComputer Science
546			_aText in English
650			_aMachine learning.
650			_aArtificial intelligence.
650			_aComputer algorithms.
942			_2ddc _cBK
998			_cJanna [new] _d08/03/2026
999			_c15574 _d15574