Index
As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.
A
acquisition function 104
adagrad method 47
Adaptive Moment Estimation (Adam) 18, 48, 113
anomaly detection , 39
artificial intelligence (AI) 13
automated machine learning (AutoML) 22
B
backpropagation 20
batch gradient descent (BGD) 45
Bayesian optimization 102, 103, 104
binary classifier 51
burn-in period 88
C
complex optimization algorithms 114
differentiable objective function 114
direct and stochastic algorithms 115, 116
control theory 10, 11
problem 11, 12
problem, formulation 13
covariance matrix 31
cross-entropy 17
curse of dimensionality 29
D
dataset
determining, with number of PCs 32, 33
decision boundary 52
decision variables 4
deep learning (DL) 69
differentiable objective function 114
dimensionality...
