425 pages | July 2026 | Quadrangle
Preface | Contents | Index | Back Cover | Datasets
DUDADS Volumes: [1 | 2 | 3 | 4 | 5 | PDV]
T. Micic, C. Ostertag, and P. Boily (with contributions from L. Haque, R. Millson, and K. Park)
Chapter 30: What's the Big Deal with Big Data? (74 pages)
M. Hallman and P. Boily (with contributions from M. Ali and A. Macfie)
Chapter 31: A Deep Learning Launchpad (80 pages)
M. Hallman and P. Boily (with contributions from K. Cheung, A. Macfie, S. Patel, and R. Pourhasan)
Chapter 32: Natural Language Processing (160 pages)
P. Boily and M. Hallman (with contributions from A. Macfie)
Chapter 33: Recommender Systems (xx pages)
T. Micic, C. Ostertag, and P. Boily (with contributions from F. Ndjankeu and S. Gryschenko)
Chapter 34: Reinforcement Learning and Artificial Intelligence (xx pages)
H. Ather and P. Boily (with contributions from O. Benning, S. Fadel, and R. Ostic)
Chapter 35: Image Mining and Computer Vision (xx pages)
P. Boily (with contributions from F. Khoshiar and H. Barriault)
Chapter 36: Causality and Belief Modeling (xx pages)
J. Schellinck and O. Shymanskyi (with contributions from P. Boily)
Chapter 37: Differential Privacy (xx pages)
Y. Hallak and P. Boily