Declarative Thinking and Programming

Declarative Programming is a programming paradigm that focuses on describing what should be computed in a problem domain without describing how it should be done. The post starts by explaining differences between a declarative and imperative approach with the help of examples from everyday life.

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Causal Inference and Propensity Score Methods

In the field of machine learning and particularly in supervised learning, correlation is crucial to predict the target variable with the help of the feature variables. Rarely do we think about causation and the actual effect of a single feature variable or covariate on the target or response. Some even …

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Hive UDFs and UDAFs with Python

Sometimes the analytical power of built-in Hive functions is just not enough. In this case it is possible to write hand-tailored User-Defined Functions (UDFs) for transformations and even aggregations which are therefore called User-Defined Aggregation Functions (UDAFs). In this post we focus on how to write sophisticated UDFs and UDAFs …

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