Transpose of a Matrix in Python
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, …
Dot Product of Two Matrices in Python
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
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 (Scalars, Vectors & Matrices)
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 …
Scalars, Vector and Matrices in Python (Using Arrays)
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
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 …
4 Types of Machine Learning (Supervised, Unsupervised, Semi-supervised & Reinforcement)
Machine learning is a subfield of Artificial Intelligence. The concept of machine learning originally started in 1959 by an American Arthur Samuel. He was an expert in the field …
4 Major Types of Artificial Intelligence
What is Artificial Intelligence? In the modern world, Artificial Intelligence is playing a significant role in almost all fields of life. It is also the need for humans in …
7 Commonly Used Machine Learning Algorithms for Classification
Generally, data is a set of factual information based on numbers, words, observations, measurements that can be used for calculation, discussion and reasoning. The rough dataset is the essential …
How to do regression in excel? (Simple Linear Regression)
Performing regression analysis in excel is a very easy task. Before going towards practical, we recall the concepts of regression. Let’s describe it briefly. Regression is used for predictive …