Practical Machine Learning with Python: A Problem-Solver's Guide to Building Real-World Intelligent Systems

Index

A

Advanced supervised deep learning models

dense layer

embedding layer

LSTM-based classification model

LSTM cell

architecture

data flow

model performance metrics, LSTM

most_common(count) function

norm_train_reviews and norm_test_reviews

PAD_INDEX

parameters, Embedding layer

RNN and LSTM units, structure

text sentiment class labels

tokenized_train corpus

word embeddings generation

AFINN lexicon

Algorithmic trading

Annotations

Anomaly detection

Applied computer science

SeePractical computer science

Area under curve (AUC)

Array elements

advanced indexing

basic indexing and slicing

boolean indexing

integer array indexing

linear algebra

operations

Artificial intelligence (AI)

defined

major facets

NLP

objectives

text analytics

Artificial neural networks (ANNs)

Artistic style transfer, ...