Matrix

Understanding Matrices | Part 4: Matrix Inverse

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,...

A Bird’s-Eye View of Linear Algebra: Why Is Matrix Multiplication Like That?

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...

Confusion Matrix Made Easy: Accuracy, Precision, Recall & F1-Rating

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...

Understanding Matrices | Part 2: Matrix-Matrix Multiplication

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...

Learn how to Interpret Matrix Expressions — Transformations

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...

Heatmap for Confusion Matrix in Python

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...

LoRa, QLoRA and QA-LoRA: Efficient Adaptability in Large Language Models Through Low-Rank Matrix Factorization

Large Language Models (LLMs) have carved a singular area of interest, offering unparalleled capabilities in understanding and generating human-like text. The facility of LLMs might be traced back to their enormous size, often having...

Demystifying Topic Modeling Techniques in NLP Introduction Different Methods of Topic Modeling 01. Latent Dirirchlet Allocation (LDA) Implementation in Python: 02. Latent Semantic Evaluation 03. Non Negative Matrix Factorization 04. Parallel...

Welcome to this insightful article where we'll delve into the fascinating world of topic modeling. We’ll uncover the true essence of topic modeling, explore its inner workings, and discover why it has turn out...

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