DatabaseTown

Introduction In this modern era, the role of automated machines is becoming inevitable day by day. In every walk of life, numbers of technological and mechanical machines are working …

Artificial intelligence is rapidly growing technology in modern world. The artificial intelligence machines has abilities to learn from its past experiences and feels comforts for new inputs and perform …

Both data scientist and data engineers are the part of team who analyze the business and convert its raw data into useful information for decision making and betterment, growth …

There are several companies who hire data engineers or data scientists to make their data more reliable and secure; and for that purpose they use machine learning. The companies …

A transpose of a matrix is obtained by interchanging all its rows into columns or columns into rows. It is denoted by \(\displaystyle {{A}^{t}}\) or \(\displaystyle {{A}^{‘}}\). For example, …

The product of two matrices A and B will be possible if the number of columns of a Matrix A is equal to the number of rows of another …

Matrix Addition and Subtraction in Python programming language is performed like the normal algebraic operations. Before discussing these operations, it is necessary to introduce a bit about Algebra which …

Linear Algebra in TensorFlow: TensorFlow is open source software under Apache Open Source license for dataflow which is frequently being used for machine learning applications like deep-neural-network to improve …

Arrays in python, are frequently used to work with scalars, vectors and matrices, a topic of today’s post. This post is continuation of linear algebra for data science. We …

Linear Algebra for Data Science and machine learning is very essential as the concepts of linear algebra are used to understand the working of algorithms. In this post, we …