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Just Enough Linear Algebra for Machine Learning with Spark

In this chapter, we will cover the following recipes:

Package imports and initial setup for vectors and matrices
Creating DenseVector and setup with Spark 2.0
Creating SparseVector and setup with Spark 2.0
Creating DenseMatrix and setup with Spark 2.0
Using sparse local matrices with Spark 2.0
Performing vector arithmetic using Spark 2.0
Performing matrix arithmetic with Spark 2.0
Distributed matrices in Spark 2.0 ML library
Exploring RowMatrix in Spark 2.0
Exploring distributed IndexedRowMatrix in Spark 2.0
Exploring distributed CoordinateMatrix in Spark 2.0
Exploring distributed BlockMatrix in Spark 2.0

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