Index
Symbols
- ℓ² normalization, ℓ2 Normalization, Scaling Bag-of-Words with Tf-Idf Transformation, Scaling Bag-of-Words with Tf-Idf Transformation, Whitening and ZCA, k-Means Clustering
- cross validation classifier accuracy, Tuning Logistic Regression with Regularization
A
- academic paper recommender (see recommender for academic papers)
- activation functions, Rectified Linear Unit (ReLU) Transformation
- AlexNet, Learning Image Features with Deep Neural Networks
- convolutional layers, Convolutional Layers
- fully connected layers, Fully Connected Layers
- pooling layers, Pooling Layers
- ReLU transformation, Rectified Linear Unit (ReLU) Transformation
- response normalization layers, Response Normalization Layers
- structure of, Structure of AlexNet-Structure of AlexNet
- anomaly detection of time series, use of PCA, Use Cases
- approximately leakage-proof statistics, Guarding against data leakage
- ASCII, Parsing and Tokenization
- audio data, Automating the Featurizer: Image Feature Extraction and Deep Learning
B
- back-off bin, What about rare categories?
- bag-of-n-grams, Bag-of-n-Grams
- bag-of-words (BoW) featurization, Bag-of-Words
- scaling with tf-idf transformation, Scaling Bag-of-Words with Tf-Idf Transformation
- basis vectors, From Vectors to Subspaces, From Vectors to Subspaces
- bias, Overview of Linear Classification
- “Big Learning Made Easy—With Counts!” blog post, Bin Counting
- bigrams, Bag-of-n-Grams
- Bilenko, Misha, Bin Counting
- bin counting, Categorical Variables: Counting Eggs in the Age of Robotic Chickens, Bin Counting ...
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