468 pages | July 2024 | Quadrangle
Preface | Contents | Index | Datasets
DUDADS Volumes: [1 | 2 | 3 | 4 | 5 | PDV]
P. Boily
Chapter 20: Regression and Value Estimation (100 pages)
P. Boily
Chapter 21: Focus on Classification and Supervised Learning (112 pages)
P. Boily (with contributions from O. Leduc and S. Hagiwara)
Chapter 22: Focus on Clustering (94 pages)
J. Schellinck and P. Boily (with contributions from A. Maheshwari)
Chapter 23: Feature Selection and Dimension Reduction (66 pages)
P. Boily (with contributions from O. Leduc, A. Macfie, A. Maheshwari, and M. Pelletier)
Back Cover Description: "Delve into the transformative world of machine learning with Volume 3 of Patrick Boily's comprehensive series, Data Understanding, Data Analysis, and Data Science. Titled Spotlight on Machine Learning this illuminating volume guides you through the intricacies of computational algorithms that teach computers to learn from data.
Beginning with a overview of machine learning, Volume 3 meticulously walks you through critical notions such as regression and value estimation, supervised learning techniques, the art of clustering, and the crucial (yet often neglected) topics of feature selection and dimension reduction.
What sets this volume apart is its commitment to a tool-agnostic approach, emphasizing understanding over mere implementation, consistent with the ethos of the series. Whether you're an aspiring machine learning engineer, a data science practitioner, or simply someone fascinated by the ability of algorithms to glean insights from data, this volume is your rigorous yet accessible guide into the complexities of machine learning.
Optimized for parallel reading alongside guided lectures or as an invaluable companion for independent study, Spotlight on Machine Learning builds on the foundation laid in Volumes 1 and 2, offering a focused understanding of machine learning's role in the broader field of data science. Equip yourself with the knowledge to navigate this rapidly evolving landscape and uncover the deeply rooted connections that link data, algorithms, and human insight."