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Articles on Trending Technologies
Technical articles with clear explanations and examples
Convolution Shape (full/same/valid) in MATLAB
In digital signal processing and image processing, the convolution is a crucial mathematical operation. The primary function of the convolution is to combine two signals to produce a resulting signal. The resulting signal specifies the interaction between the two signals that we combined. In MATLAB, we can perform the convolution of two signals by using a built−in function ‘conv()’. This MATLAB function performs the convolution by using a discrete approximation of the integration. For this, it uses discrete samples of the input signals. Syntax The following is the general syntax for the ‘conv()’ function, a = conv(x, y, shape); ...
Read MoreR for Machine Learning: An Introduction
Introduction Machine learning has revolutionized the field of artificial intelligence and data analysis. With the ever-increasing availability of data and computational power, machine learning algorithms have become essential tools for extracting valuable insights and making predictions from large and complex datasets. Among the various programming languages used in machine learning, R stands out as a popular choice due to its versatility and extensive library support. In this article, we will provide a comprehensive introduction to R for machine learning, exploring its capabilities, libraries, and applications. What is R? R is a powerful statistical programming language widely used for data analysis, ...
Read MoreAdvanced Data Visualization Techniques with R
Introduction Data visualization plays a crucial role in analyzing and communicating insights from complex datasets. With the advent of advanced data visualization tools and techniques, researchers and analysts can now present data in more meaningful and engaging ways. In this article, we will explore advanced data visualization techniques using R, a powerful programming language widely used for data analysis and visualization. We will delve into various subheadings that cover different aspects of data visualization in R, providing detailed insights and examples. Exploratory Data Analysis (EDA) Visualizations Exploratory Data Analysis (EDA) involves visualizing and understanding the underlying patterns and relationships in ...
Read MoreWhy is Machine Learning The Future?
Machine Learning is a field of study of smart and efficient use of data and existing algorithms to make machines imitate humans in performing tasks with greater accuracy. It is one of the fastest growing branches in Computer Science , along with Artificial Intelligence. Machine Learning can be rightly called as a subset of artificial intelligence, as a lot of ML algorithms and results are of AI . Automation of Routine Tasks We are living in a fast moving world where people have no time to carry out their regular chores manually. Nearly half of the population ...
Read MoreConfigure the Run Button for Functions in MATLAB
In this article, we will learn to configure the Run button for functions in MATLAB. In MATLAB, the `Run` button is used execute a MATLAB code. Also, MATLAB allows us to configure the `Run` button to execute a specific user defined function. Algorithm to Configure Run Button The step−by−step process to configure the Run button to execute a specific function in MATLAB is explained below: Step 1 − Firstly, create a new script to open the MATLAB editor. Step 2 − Define or create a function for which you want to configure the Run button. For example, we create ...
Read MoreTypes of Learning Rules in ANN
ANN or artificial neural networks are the computing systems developed by taking inspiration from the biological neural networks; the human brain being its major unit. These neural networks are made functional with the help of training that follows some kind of a learning rule. A learning rule in ANN is nothing but a set of instructions or a mathematical formula that helps in reinforcing a pattern, thus improving the efficiency of a neural network. There are 6 such learning rules that are widely used by neural networks for training. Hebbian Learning Rule Developed by Donald Hebb in 1949, ...
Read MoreTypes of Human Intelligence
Intelligence can be defined as the ability to learn, understand and apply knowledge and skills. Human Intelligence is a multifaceted concept that encompasses many types. Before understanding the types of human intelligence let’s have a look at the basic difference between Human intelligence and Artificial intelligence − Human intelligence is associated with creativity, emotion, flexibility, and the ability to learn from a wide range of experiences. Unlike human intelligence, artificial intelligence cannot think creatively, experience emotions, adapt to new circumstances, or understand ethical and moral issues. While machine learning and human learning share some similarities, reinforcement learning uses ...
Read MoreUnderstanding Data Analysis with R
Introduction Data analysis plays a crucial role in today's data-driven world. It involves extracting valuable insights from large and complex datasets to make informed decisions. R is a powerful programming language and software environment widely used for statistical computing and graphics. In this article, we will explore the fundamentals of data analysis with R, its benefits, and various techniques used in the process. What is R? R is an open-source programming language and software environment specifically designed for statistical computing and graphics. It provides a wide range of tools for data manipulation, visualization, and statistical analysis. R is highly extensible ...
Read MoreTransformer Neural Network in Deep Learning
A transfer neural network is a deep learning architecture that handles long-range dependencies well, as was first described in Vaswani et al's 2017 paper "All you need is attention.". The self-attention mechanism of transformer networks allows them to identify relevant parts of input sequences. What are Recurrent Neural Networks? Recurrent neural networks are artificial neural networks that have memory or feedback loops. They are designed to process and classify sequential data in which the order of the data points is important. The network works by feeding the input data into a hidden layer, allowing the network to maintain information ...
Read MoreComparing Two Cell Arrays of Strings of Different Sizes in MATLAB
In this article, we will learn how to compare two cell arrays of strings of different sizes in MATLAB. Cell Array of Strings In MATLAB, a cell array of strings is a data structure that can store different types of elements. The element of a cell array are enclosed within curly braces `{}`. Syntax We can use the following syntax to create a cell array of strings, A = {'string1', 'string2', 'string3', …'stringN'}; Here, `A` is a cell array of strings that contains N string elements namely, `string1`, `string2`, …, `stringN`. In MATLAB, the cell arrays of strings are ...
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