Spark MLlib

1. Common algorithms
   1. classification
   2. regression
   3. clustering
   4. collaborative filtering
   5. dimensionality reduction
2. data science algorithms (python)

   Module - Classification	pyspark.mllib.classification
   Linear Support Vector Machine	The SVMWithSGD class
   Naive Bayes	The NaiveBayes class
   Logistic regression	The LogisticRegressionWithSGD class
   Module - Regression	pyspark.mllib.regression
   Linear least squares	The LinearRegressionWithSGD class
   Ridge regression	Linear least squares with L2 regularization, it is implemented with the RidgeRegressionWithSGD class
   Lasso	Linear least squares with L1 regularization, it is implemented with the LassoWithSGD class
   Module - Clustering	pyspark.mllib.clustering
   K-Means	the KMeans class
   Module - Recommendation	pyspark.mllib.recommendation
   Alternating Least Squares	the ALS class