## 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 B. A mathematical example of dot product of two matrices A & B is given below. If \(\displaystyle A=\left[ {\begin{array}{*{20}{c}} 1 & 2 \\ 3 …

## 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 has been taken from the Arabic word Al-Jabar, afterward, this word turned into Algebra. Algebra is a branch of Mathematics that provides an easy solution to …

## 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 the performance of search engines, such as, Google, image captioning, recommendation and translation. For example, when a user types a keyword in Googleâ€™s search bar, it …

## 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 use NumPy, a library for the python programming which allows us to work with multidimensional arrays and matrices along with a large collection of high-level mathematical …

## 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 are going to discuss the basic concepts of linear algebra. Why Linear Algebra? Enormous datasets mostly contain hundreds to a large number of individual data objects. …

## 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 of computer gaming and intelligent machines. In this post, we are going to discuss the types of machine learning. There are four major types of machine …

## 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 recent times. We start with the definition of artificial intelligence. Artificial intelligence and machine learning have the same framework and tools. There are some definitions of …

## 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 foundation of data science and it may be of diverse types, such as structured data and unstructured data and semi-structured. Structured data is formatted in tabular …

## 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 analysis. It is used for finding the strength of predictors and forecasting an effect. Its most common type is linear regression. The linear regression can be …

## Implementing Support Vector Machine (SVM) in Python

Machine Learning is the most famous procedure of foreseeing the future or arranging data to help individuals in settling on essential choices. The algorithms are trained over models through which they gain information from past encounters so as to make forecasts about what’s to come. There are three types of Machine learning i.e. supervised learning, …