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A circle is a round shape two-dimensional diagram which has no corners. Every circle has an origin point and every point on the circle maintains equal distance from the origin. The distance between the origin and a point in a circle is known as Radius of the circle. And similarly, if we draw a line from one edge to another edge of the circle and the origin is held in the middle of it, that line is known as diameter of the circle. Basically, the diameter is double of the length of the radius. Chord of the circle refers to ... Read More
A circle is a round shape two-dimensional diagram which has no corners. Every circle has an origin point and every point on the circle maintains equal distance from the origin. The distance between the origin and a point in a circle is known as Radius of the circle. And similarly, if we draw a line from one edge to another edge of the circle and the origin is held in the middle of it, that line is known as diameter of the circle. Basically, the diameter is double of the length of the radius. Chord of the circle refers to ... Read More
Introduction The Restricted Boltzmann Machine, developed by Geoffrey Hinton in 1985, is indeed a network of symmetrically interconnected systems that functions like neurons and makes stochastic judgments. After the Netflix Competition, where RBM walt is a type of unsupervised utilized as an information retrieval strategy to forecast ratings and reviews for movies and outperform most of its competition, this deep learning model gained a lot of notoriety. It is helpful for collaborative filtering, feature learning, dimensionality reduction, regression, classification, and feature learning. Let’s understand what are restricted Boltzmann Machines in depth. Restricted Boltzmann Machine Restricted Boltzmann Machines have stochastic two-layered ... Read More
Introduction As the name implies, machine learning is the practice of creating computer algorithms that can learn from various types of data. In a broader definition, Arthur Samuel states that "machine learning is the scientific field which offers computers the power to learn and without being expressly taught." They are frequently used to deal with a variety of everyday difficulties. The algorithms, mathematical equations, and statistical calculations used in the past to perform Machine Learning tasks were all manually coded. As a result, the procedure was time-consuming, challenging, and ineffective. But because of a number of libraries, frameworks, and modules, ... Read More
Introduction Machine learning is indeed the idea that different technological tools, such as computers and tablets may understand anything dependent on coding along with other data. Although it looks like something from the future, most people use the internet on this level every day. Speaking recognition is a fantastic example of this. The technology is used by virtual personal assistants such as Siri and Alexa to read out reminders, respond to enquiries, and carry out tasks. More experts are considering employment as machine learning experts, as the sector grows. Making a project from start to finish is among the best ... Read More
Introduction It is sometimes said that science is a "river of chances, " providing a wealth of choices for further study as well as employment in a variety of sectors. BSc graduates have a wide variety of choices when it comes to the subjects, fields, or themes they could choose from when pursuing endpoint degree programs. Non-science university courses are offered in a variety of subjects, including information systems, art, reporting, administration, hospitality, law, social service, and many others. Top 10 Career Options After B.Sc. A popular undergraduate degree choice for students who took science in classes 11 and 12 ... Read More
Introduction: Simple Linear Regression The "Supervised Machine Learning" algorithm of regression is used to forecast continuous features. The simplest regression procedure, linear regression fits a linear equation or "best fit line" to the observed data in an effort to explain the connection between the dependent variable one and or more independent variables. There are two versions of linear regression depending on the number of characteristics used as input Multiple Linear Regression Simple Linear Regression In this article, we will be exploring the concept of Simple Linear Regression. Simple Linear Regression Model A form of regression method called simple ... Read More
Introduction The link between the dependent and independent variables, Y and X, is modelled as the nth degree of the polynomial in polynomial regression, a type of linear regression. In order to draw the best line using data points, this is done. Let’s explore more about the Polynomial regression in this article. Polynomial Regression One of the rare instances of multiple linear regression models is polynomial regression. In other words, it is a sort of linear regression when the dependent and independent variables have a curvilinear connection to one another. In the data, a polynomial connection is fitted. Additionally, by ... Read More
Introduction Since its inception in 1956, the term "artificial intelligence" (AI) has advanced significantly and grown in popularity. Salutations to the vast amounts of data, sophisticated algorithms, and advancements in processing power and storage. The development of Machine learning and artificial intelligence has increased the need for smart individuals to assist in solving urgent business difficulties more effectively and quickly. By 2024, the global AI employment market is predicted to reach $191 billion and add over 2 million new positions across all industries. With competitive pay, investing in professional development and knowing the best AI learning journey is undoubtedly the ... Read More
In digital electronics, a subtractor is a combinational logic circuit that performs the subtraction of two binary numbers. However, the subtraction of binary number can be performed using adder circuits by taking 1s or 2s compliments. But, we may also realize a dedicate circuit to perform the subtraction of two binary numbers. In the subtraction of two binary numbers, each subtrahend bit of the number is subtracted from its corresponding significant minuend bit to form a difference bit. During the subtraction, if the minuend bit is smaller than the subtrahend bit, then a 1 is borrowed from the next position. ... Read More