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
ad hoc transformation
categorical data, handling 45
numeric data, handling 44
within Jupyter Notebooks 43
AI techniques 165
global explainability, versus local explainability 165
tabular data techniques 168
text data techniques 170
area under the ROC curve (ROC-AUC) 371
artificial intelligence (AI) 3, 49, 133, 163, 241, 304
Artificial Neural Networks (ANNs) 207
Atomicity, Consistency, Isolation and Durability (ACID) 42
attention mechanisms 171
AUC PR 85
AUC ROC 85
AutoML for tabular data
SHAP-based explanation, using 173
AutoML for Text Analysis 313
classification 314
entity extraction 314
sentiment analysis 314
AutoML Video Intelligence 308
use cases 308
B
batch normalization...
