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Assisted Design of Data Science Pipelines | Sebastian Schelter
| | www.altexsoft.com
Machine Learning Pipeline: Architecture of ML Platform
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| | A dive into the machine learning pipeline on the production stage: the description of architecture, tools, and general flow of the model deployment.
| | algobeans.com
K-Nearest Neighbor (KNN) Tutorial: Anomaly Detection - Algobeans
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| | Outliers can be detected by algorithms used for predictions. To illustrate, we use the k-nearest neighbor (kNN) clustering algorithm.
| | engineering.zalando.com
Zalando's Machine Learning Platform
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| | Architecture and tooling behind machine learning at Zalando
| | dustintran.com
On Model Mismatch and Bayesian Analysis | Dustin Tran
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| One aspect I always enjoy about machine learning is that questions often go back to the basics. The field essentially goes into an existential crisis every dozen years-rethinking our tools and asking foundational questions such as "why neural networks" or "why generative models".1 This was a theme in my conversations during NIPS 2016 last week, where a frequent topic was on the advantages of a Bayesian perspective to machine learning. Not surprisingly, this appeared as a big discussion point during the p...