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This weeks guest post comes from KDD (KnowledgeDiscovery and DataMining). Every year they host an excellent and influential conference focusing on many areas of data science. Honestly, KDD has been promoting data science way before data science was even cool. 1989 to be exact. The details are below.
For super rookies, the first task is to understand what data analysis is. Data analysis is a type of knowledgediscovery that gains insights from data and drives business decisions. One is how to gain insights from the data. Data is cold and can’t speak. From Google. There are two points here.
The interest in interpretation of machine learning has been rapidly accelerating in the last decade. This can be attributed to the popularity that machine learning algorithms, and more specifically deeplearning, has been gaining in various domains. Methods for explaining DeepLearning. Guestrin, C.,
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