TY  - BOOK
AU  - Pearson,Jacob
TI  - Introduction to machine learning
SN  - 9781639873333
U1  - 006.31 23
PY  - 2021///
CY  - N.Y.
PB  - Murphy & Moore
KW  - Machine learning
KW  - Artificial intelligence
N1  - Includes bibliographical references and index
N2  - Introduction to Machine Learning by Jacob Pearson offers a foundational overview of the core principles, techniques, and applications of machine learning within the broader field of Artificial Intelligence. The book introduces key concepts such as supervised and unsupervised learning, model evaluation, feature selection, and common algorithms including regression, classification, clustering, and neural networks. It balances theoretical understanding with practical implementation, often illustrating how data-driven models are built, trained, and optimized for real-world problems. Emphasis is placed on interpreting results, avoiding overfitting, and understanding the ethical implications of automated decision-making. Designed for beginners and early learners, it serves as a bridge between basic statistical reasoning and more advanced machine learning methodologies
ER  -