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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
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
This is the second 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 Image that you have only a data warehouse with SQL capabilities to train and evaluate your models. Last time we ran Python code to calculate … Continue reading Machine Learning Part 2 — Linear regression in SQL
This is the first part of the Machine Learning series. For your convenience you can find other parts using the links below (or by guessing the address): Part 1 — Linear regression in MXNet Part 2 — Linear regression in SQL Part 3 — Linear regression in SQL revisited Part 4 — Linear regression in … Continue reading Machine Learning Part 1 — Linear regression in MXNet
This is the ninth part of the .NET Inside Out series. For your convenience you can find other parts in the table of contents in Part 1 – Virtual and non-virtual calls in C# We know how to generate delegate from a byte array. Last time we did it by modifying some code using jumps … Continue reading .NET Inside Out Part 9 — Generating Func from a bunch of bytes in C# revisited