A proper understanding of bias and variance concepts would help us not only to build accurate models but also to avoid the mistake of over-fitting and under-fitting.
Bias vs Variance Quick note
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Word2vec with gensim – a simple word embedding example
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In this short article, we show a simple example of how to use GenSim and word2vec for word embedding. Word2vec Word2vec is a famous algorithm for natural language processing (NLP) created by Tomas Mikolov teams. It is a group of related models that are used to produce word embeddings, i.e. CBOW and skip-grams. The models are considered shallow. They consist of two-layer neural...
Optimization: Gradient descent with python
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Gradient descent implementation with python on a classification problems