Matrix

the groundwork for foundation models, which permit us to take pretrained models off the shelf and apply them to quite a lot of tasks. Nonetheless, there may be a standard artifact present in...

multiplication is undoubtedly probably the most common operation performed by GPUs. It's the elemental constructing block of linear algebra and shows up across a large spectrum of various fields equivalent to graphics, physics...

of this series , , and , we've observed: interpretation of multiplication of a matrix by a vector, the physical meaning of matrix-matrix multiplication, the behavior of several special-type matrices, and visualization of matrix transpose. On this story,...

chapter of the in-progress book on linear algebra, “A birds eye view of linear algebra”. The table of contents to date: Stay tuned for future chapters. Here, we'll describe operations we will do with two...

we cope with classification algorithms in machine learning like Logistic Regression, K-Nearest Neighbors, Support Vector Classifiers, etc., we don’t use evaluation metrics like Mean Absolute Error (MAE), Mean Squared Error (MSE) or Root...

In the primary story of this series, we've got: Addressed multiplication of a matrix by a vector, Introduced the concept of X-diagram for a given matrix, Observed behavior of several special matrices, when being multiplied by...

Let’s return to the matrixand apply the transformation to a couple of sample points.At first glance, it’s not obvious that one transformation reverses the results of the opposite.Nevertheless, in these plots, you may notice...

One image might be value 1000's of words.A confusion matrix is a convenient solution to present the forms of mistakes a machine learning mode makes. It's an N by N grid with numbers, where...