This book introduces Machine Learning, a dynamic field focused on developing algorithms that allow computers to learn from data to identify patterns and make predictions without explicit programming. The content guides learners from the most fundamental concepts to building accurate and robust predictive models. A special highlight of the material is the introduction of oneAPI – a unified programming model that optimizes performance across various hardware architectures such as CPUs, GPUs, and FPGAs. Through a step-by-step approach, the book helps readers master core concepts while equipping them with the skills to develop scalable and highly compatible machine learning solutions across multiple platforms. This is essential preparation for programmers and researchers to master the technology and contribute to the development of the artificial intelligence era.

Ngôn ngữ:	eng
Tác giả:	Akshay R. B ., Raj Pulari, Sini, Murugesh, T. S., Vasudevan, Shriram K.
Thông tin nhan đề:	Machine Learning: A Comprehensive Beginner's Guide
Nhà xuất bản:	CRC Press
Loại hình:	Giáo trình sách, tham khảo / Bộ sưu tập: Công nghệ thông tin
Mô tả vật lý:	258p.
Năm xuất bản:	2024