Sagemaker Built-in Algorithms

Question

I am exploring the Sagemaker Built-in algorithms, and I am curious to learn more about the details of the algorithms. However, I am surprised that it is hard to find any references for the research background and implementation details in the numerous documents and tutorials for particular algorithms. If such information exists somewhere, I would highly appreciate a pointer. Thanks a lot in advance!

Accepted Answer

thanks for your interest in the built-in algorithms! You can find research papers in the documentation of many of them. And documentation page has a section "how it works" explaining the science of every algorithm. For example:

- **BlazingText**: *[BlazingText: Scaling and Accelerating Word2Vec using Multiple GPUs](https://dl.acm.org/doi/10.1145/3146347.3146354)*, Gupta et Khare
 - **[DeepAR](https://docs.aws.amazon.com/sagemaker/latest/dg/deepar_how-it-works.html)** *[DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks](https://arxiv.org/abs/1704.04110)*, Salinas et al.
 - **[Factorization Machines](https://docs.aws.amazon.com/sagemaker/latest/dg/fact-machines-howitworks.html)**
 - **[IP Insights](https://docs.aws.amazon.com/sagemaker/latest/dg/ip-insights-howitworks.html)**
 - **[KMeans](https://docs.aws.amazon.com/sagemaker/latest/dg/algo-kmeans-tech-notes.html)**
 - **[KNN](https://docs.aws.amazon.com/sagemaker/latest/dg/kNN_how-it-works.html)**
 - **[LDA](https://docs.aws.amazon.com/sagemaker/latest/dg/lda-how-it-works.html)**
 - **[Linear Learner](https://docs.aws.amazon.com/sagemaker/latest/dg/linear-learner.html)**
 - **[NTM](https://docs.aws.amazon.com/sagemaker/latest/dg/ntm.html)**
 - **[Object2Vec](https://docs.aws.amazon.com/sagemaker/latest/dg/object2vec-howitworks.html)**
 - **[Object Detection](https://docs.aws.amazon.com/sagemaker/latest/dg/algo-object-detection-tech-notes.html)** (it's an SSD model)
 - **[PCA](https://docs.aws.amazon.com/sagemaker/latest/dg/how-pca-works.html)**
 - **[Random Cut Forest](https://docs.aws.amazon.com/sagemaker/latest/dg/rcf_how-it-works.html)**: *[Robust Random Cut Forest Based Anomaly Detection On Streams](https://proceedings.mlr.press/v48/guha16.pdf)*, Guha et al
 - **[Semantic Segmentation](https://docs.aws.amazon.com/sagemaker/latest/dg/semantic-segmentation.html)**
 - **[Seq2seq](https://docs.aws.amazon.com/sagemaker/latest/dg/seq-2-seq-howitworks.html)**
 - **[XGBoost](https://docs.aws.amazon.com/sagemaker/latest/dg/xgboost-HowItWorks.html)**

Sagemaker Built-in Algorithms

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