Название: Practical Machine Learning: A Beginner's Guide with Ethical Insights
Автор: Ally S. Nyamawe, Mohamedi M. Mjahidi, Noe E. Nnko, Salim A. Diwani
Издательство: CRC Press
Год: 2025
Страниц: 226
Язык: английский
Формат: pdf (true), epub
Размер: 27.7 MB
The book provides an accessible, comprehensive introduction for beginners to Machine Learning, equipping them with the fundamental skills and techniques essential for this field. It enables beginners to construct practical, real-world solutions powered by Machine Learning across diverse application domains. It demonstrates the fundamental techniques involved in data collection, integration, cleansing, transformation, development, and deployment of Machine Learning models. This book emphasizes the importance of integrating responsible and Explainable AI into Machine Learning models, ensuring these principles are prioritized rather than treated as an afterthought. To support learning, this book also offers information on accessing additional Machine Learning resources such as datasets, libraries, pre-trained models, and tools for tracking Machine Learning models. It is important to acknowledge that proficiency in computer programming is essential for developing Machine Learning models. Python, R, and MATLAB are widely recognized as prominent programming languages in this field.
