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- BlazingText
- Word2vec
- Text classification
- Deep AR
- Factorization Machine
- Image Classification
- Image multi-classification with CNN (ResNet)
- IP Insights
- Unsupervised IP usage pattern (i.e. how IP connects to user ID, account numbers, etc.)
- K-means
- K-NN
- Latent Dirichlet Allocation (LDA)
- Unsupervised text clustering
- Linear Learner
- Neural Topic Model (NTM)
- Unsupervised text clustering
- Used for classification, summarization and recommendation
- Object2Vec
- Object Detection
- Supervised multi-object detection in images
- Yes or no as answer (no object location information)
- PCA
- Unsupervised reduce dimensionality of data
- Make features more concise and prominent to improve training efficiency
- Random Cut Forest
- Unsupervised data anomaly detection
- Semantic Segmentation
- Multi-object detection and segmentation in images
- Will detect and create a pixel-by-pixel mask of objects in image
- seq2seq
- Supervised machine translation, summarization
- Input = a sequence of tokens; output = another sequence of tokens
- XGBoost
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