Mahout

Clojure

Protected: Implementation of recommendation algorithm using Clojure/Mahout

Implementation of recommendation algorithms using Clojure/Mahout for digital transformation, artificial intelligence, and machine learning tasks information retrieval statistics, precision, recall, DCG, IDCG, Ideal Discounted Cumulative Gain, Discounted Cumulative Gain, Discounted Cumulative Gain, fall-out, F-measure, harmonic mean, RMSE, k-nearest neighbor method, Pearson correlation, Spearman's rank correlation coefficient, Pearson correlation similarity, similarity measure Jaccard distance, Euclidean distance, cosine distance, pairwise differences, item-based, user-based
Clojure

Protected: Large-scale Machine Learning with Apache Spark and MLlib

Large-scale machine learning with Apache Spark and MLlib for digital transformation, artificial intelligence, and machine learning tasks (predictive value, RMSE, factor matrix, rank, latent features, neighborhoods, sum of squares error, Mahout, ALS, Scala RDD, alternating least squares, alternating least squares, stochastic gradient descent, persistence, caching, Flambo, Clojure, Java)
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