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Logical Computations with Neurons | Deep learning
Warren McCulloch and Walter Pitts proposed a very simple model of the biological neuron, which later became known as an artificial neuron: it has one or more binary (on/off) inputs and one binary output. The artificial neuron simply activates its output when more than a certain number of its inputs are active. McCulloch and Pitts… Read more
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SQL Advanced | Wildcards
SQL Wildcard Examples We have the following “Persons” table: Using the % Wildcard Now we want to select the persons living in a city that starts with “sa” from the “Persons” table. We use the following SELECT statement: The result-set will look like this: Next, we want to select the persons living in a city… Read more
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Beautiful Days at the Movies | Hackerrank Solutions
Lily likes to play games with integers. She has created a new game where she determines the difference between a number and its reverse. For instance, given the number 12, its reverse is 21. Their difference is 9 . The number 120 reversed is 21, and their difference is 89. She decides to apply her game to decision making. She will… Read more
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What is Stochastic Gradient Descent?
Stochastic Gradient Descent (SGD) is an optimization algorithm commonly used in machine learning for training models, particularly in large-scale and online learning settings. It is an iterative optimization algorithm that aims to minimize a cost or loss function by adjusting the model parameters. Here’s an overview of how SGD works: Basic Concept: Advantages and Considerations:… Read more
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How to Extract Code from a Screenshot with 100% Accuracy?
Did you like an image containing code & take its screenshot? Now you want to copy the code from that screenshot, right? Panic not, because I’ve got you covered. In this handy guide, I’ll provide you with some simple steps so that you can extract code from a screenshot efficiently. This guide is your go-to… Read more
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Quintile Analysis: Bringing it all togetherand making decisions
Introduction Quintile analysis is a statistical method used to divide a data set into five equal parts, each representing 20% of the total observations. This method is often used in finance, economics, and sociology to analyze distributions, rankings, or performance. Quintile Analysis: with random data Quintile analysis is a common framework for evaluating the efficacy… Read more