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Machine Learning algorithms are able to train themselves to recognize patterns in data and make predictions by first analyzing large volumes of sample...
The Failure of a Predictive Model · Introduction Linear regression is an attempt to build a model from existing data. It uses the existing data to fit a...
A math-free white paper summarization. · Question classification is very important for question answering and today in this blog we will try to summarize...
In probability theory and statistics, Bayes' theorem (alternatively Bayes' law or Bayes' rule ) named after Thomas Bayes, describes the probability of...
Entropy is not the easiest thing to understand. Almost everyone has heard the entropy term at least once, perhaps during physics class in high school....
Usually, when we think about data science, we think of how to build and train machine learning models using some data. And after that, the process of...
