Complete linear algebra: theory and implementation in code

Description You need to learn linear algebra! Linear algebra is perhaps the most important branch of mathematics for computational sciences, including machine learning, AI, data science, statistics, simulations, computer graphics, multivariate analyses, matrix decompositions, signal processing, and so on. You need to know applied linear algebra, not just abstract linear algebra! The way linear algebra is presented in 30-year-old textbooks Read more…

SQL Server Machine Learning Services: R

SQL Server now includes support for direct execution of R code. This integration allows complex data science analyses to be performed quickly in a secure environment, without having to export data sets first. In this course, database expert Adam Wilbert walks through the steps of enabling the required components—including Machine Read more…