Mathematics for Machine Learning: Linear Algebra
Fundamental building blocks and applications.
Fundamental building blocks and applications.
Parititioning, indexing, transactions, window functions, UDFs, and pivoting.
A little bit about a lot of Big Data concepts.
A conceptual look at 15 common probability distributions.
A nifty way to easily handle system-versioned tables.