This is the fifty second part of the ILP series. For your convenience you can find other parts in the table of contents in Part 1 – Boolean algebra In part 2 we saw how to calculate unsigned magnitude decomposition for non-negative integer variables. Today we are going to do the same for real variables. … Continue reading ILP Part 52 — Unsigned magnitude decomposition for real variables
Month: November 2018
Machine Learning Part 5, ILP Part 51 — Linear regression
This is the fifty first part of the ILP series. For your convenience you can find other parts in the table of contents in Part 1 – Boolean algebra This is the fifth part of the ML series. For your convenience you can find other parts in the table of contents in Part 1 – … Continue reading Machine Learning Part 5, ILP Part 51 — Linear regression
Machine Learning Part 4 — Linear regression in T-SQL
This is the fourth part of the ML series. For your convenience you can find other parts in the table of contents in Part 1 – Linear regression in MXNet This time we are going to implement linear regression as a function. This gives us a little more flexibility in terms of debugging the code … Continue reading Machine Learning Part 4 — Linear regression in T-SQL
Machine Learning Part 3 — Linear regression in SQL revisited
This is the third part of the ML series. For your convenience you can find other parts in the table of contents in Part 1 – Linear regression in MXNet Last time we saw how to calculate linear regression for the Iris dataset. However, we had to hardcode all the featuers. Today we are going … Continue reading Machine Learning Part 3 — Linear regression in SQL revisited