Built text and image clustering models using unsupervised machine learning algorithms such as nearest neighbors, k means, LDA , and used techniques such as expectation maximization, locality sensitive hashing, and gibbs sampling in Python
python machine-learning retrieval nearest-neighbor-search expectation-maximization locality-sensitive-hashing kmeans kd-trees gibbs-sampling unsupervised-machine-learning machine-learning-clustering
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Updated
Jan 20, 2018 - Jupyter Notebook