Manning-Book-Temp/main.ind

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\begin{theindex}
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A
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\item Activation Functions ~7
\item Active Learning ~17
\item Adversarial Examples ~16
\item Algorithmic Complexity ~16
\item Artificial Neural Networks ~1
\item Attention Mechanism ~16
\item Attention-based Models ~18
\item Autoencoders ~11
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B
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\item Backpropagation ~7
\item Batch Gradient Descent ~16
\item Batch Normalization ~8
\item Bayesian Deep Learning ~18
\item Bayesian Inference ~16
\item Bayesian Optimization ~18
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C
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\item Capsule Networks ~16
\item Clustering Techniques ~16
\item Collaborative Filtering ~18
\item Contrastive Learning ~18
\item Convolutional Neural Networks ~3
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D
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\item Data Augmentation ~12
\item Decision Boundary ~16
\item Deep Learning Frameworks ~4
\item Deep Reinforcement Learning ~16
\item Dimensionality Reduction ~16
\item Dropout Layers ~18
\item Dropout Regularization ~8
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E
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\item Ensemble Learning ~16
\item Ensemble Methods ~16
\item Evolutionary Algorithms ~16
\item Explainability in AI ~18
\item Explainable AI (XAI) ~17
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F
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\item Feature Engineering ~17
\item Federated Learning ~19
\item Fine-tuning ~13
\item Fuzzy Logic ~16
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G
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\item Generative Adversarial Networks ~11
\item Genetic Algorithms ~17
\item Gradient Descent ~7
\item Graph Neural Networks ~17
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H
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\item Hebbian Learning ~17
\item Hierarchical Clustering ~17
\item Hyperparameter Tuning ~11
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I
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\item Image Classification ~11
\item Instance Segmentation ~17
\item Instance-based Learning ~17
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K
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\item Kernel Methods ~17
\item Knowledge Graphs ~17
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L
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\item Label Smoothing ~17
\item Latent Dirichlet Allocation ~18
\item Long Short-Term Memory (LSTM) ~14
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M
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\item Memory Augmented Networks ~17
\item Model Evaluation Metrics ~11
\item Model Interpretability ~18
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N
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\item Natural Language Processing ~11
\item Neural Architecture Search ~18
\item Non-Maximum Suppression ~17
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O
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\item Object Detection ~11
\item One-shot Learning ~17
\item Online Learning ~18
\item Overfitting ~11
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P
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\item Policy Gradient Methods ~18
\item Precision-Recall Curve ~18
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Q
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\item Quantum Computing ~18
\item Quantum Machine Learning ~19
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R
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\item Random Forests ~18
\item Recurrent Neural Networks ~3
\item Regularization Techniques ~19
\item Reinforcement Learning ~7
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S
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\item Self-Organizing Maps ~18
\item Self-Supervised Learning ~18
\item Semantic Segmentation ~11
\item Speech Recognition ~11
\item Stochastic Gradient Descent ~19
\item Supervised Learning ~4
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T
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\item Temporal Convolutional Networks ~18
\item Text Mining ~18
\item Time Series Prediction ~11
\item Transfer Learning ~10
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U
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\item Underfitting ~11
\item Universal Approximation Theorem ~18
\item Unstructured Data ~18
\item Unsupervised Learning ~6
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V
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\item Value Iteration ~18
\item Variational Autoencoders ~18
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W
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\item Weak Supervision ~18
\item Weight Initialization ~18
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X
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\item X-means Clustering ~16
\item XGBoost ~18
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Y
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\item Yield Curve Modeling ~18
\item Yield Curve Prediction ~16
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Z
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\item Zero-day Attacks Detection ~18
\item Zero-shot Learning ~17
\end{theindex}