The Object-Oriented Approach to Problem Solving and Machine Learning with Python
Chapman & Hall/CRC (Verlag)
978-1-032-66831-4 (ISBN)
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Start by solidifying your OOP foundation with clear explanations of core concepts like use cases and class diagrams. This book goes beyond theory as you get practical examples with well-documented source code available in the book and on GitHub.
This book doesn't stop at the basics. Explore how OOP empowers fields like data persistence, graphical user interfaces (GUIs), machine learning, and data science, including social media analysis. Learn about machine learning algorithms for classification, regression, and unsupervised learning, putting you at the forefront of AI innovation.
Each chapter is designed for hands-on learning. You'll solidify your understanding with case studies, exercises, and projects that apply your newfound knowledge to real-world scenarios. The progressive structure ensures mastery, with each chapter building on the previous one, reinforced by exercises and projects.
Numerous code examples and access to the source code enhance your learning experience. This book is your one-stop shop for mastering OOP with Python and venturing into the exciting world of machine learning and data science.
Sujith Samuel Mathew holds a Ph.D. in Computer Science from the University of Adelaide, Australia. He is an Associate Professor at the College of Interdisciplinary Studies (CIS), Zayed University, UAE. He specializes in ubiquitous and distributed computing, focusing on the Internet of Things and related Smart City applications. Mohammad Amin Kuhail holds an M.Sc. in Software Engineering from the University of York and a Ph.D. in Software Development from IT University of Copenhagen. He is an Associate Professor at Zayed University, specializing in human-computer interaction and software engineering, and he researches chatbot technology, user behavior, and education. Maha Hadid holds a Master of Science in Information Sciences and Systems from the University of Marseille in France. She is an Instructor at Zayed University, UAE, with experience in undergraduate courses and instructional design and delivery for blended and classroom-based courses. Shahbano Farooq holds an M.Sc. in Computer Science from the University of Calgary. She is an experienced software engineer and an Instructor at Zayed University, UAE.
1. Introduction to Object-Oriented Programming 2. Python Data Structures 3. Exception Handling 4. Fundamentals of Object-Oriented Analysis 5. Fundamentals of Object-Oriented Design 6. File Handling, Object Serialization, and Data Persistence 7. Graphical User Interface with Tkinter 8. Machine Learning with Python 9. Natural Language Processing and Text Mining with Python Appendix A Appendix B Appendix C Appendix D
| Erscheint lt. Verlag | 27.2.2025 |
|---|---|
| Zusatzinfo | 19 Tables, black and white; 61 Line drawings, color; 37 Line drawings, black and white; 5 Halftones, color; 66 Illustrations, color; 37 Illustrations, black and white |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge |
| Informatik ► Theorie / Studium ► Algorithmen | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| ISBN-10 | 1-032-66831-8 / 1032668318 |
| ISBN-13 | 978-1-032-66831-4 / 9781032668314 |
| Zustand | Neuware |
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