Articles

Beta Distribution 馃嚭馃嚫

A continuous random variable X follows a beta distribution if it is used to model the behavior of random variables that are constrained to intervals of finite length, often [0,1]. The beta distribution is characterized by two shape parameters, $\alpha$ and $\beta$, and is denoted as $X \sim \text{Be...

Axioms of Probability 馃嚭馃嚫

Probability theory is based on a set of principles, or axioms, that define the properties of the probability measure. These axioms, first formalized by the Russian mathematician Andrey Kolmogorov, are the foundation upon which the entire framework of probability is built...

F Distribution 馃嚭馃嚫

The F-distribution, also known as the Fisher-Snedecor distribution, is a continuous probability distribution that arises in hypothesis testing when comparing the variances of two normally distributed populations. The F-distribution is denoted as $X \sim F(d_1, d_2)$, where $d_1$ and $d_2$ are the de...

Eventual Consistency 馃嚭馃嚫

Imagine a distributed system with multiple nodes鈥攕ervers or databases鈥攖hat share data. When an update occurs on one node, it doesn't instantly reflect on the others due to factors like network latency or processing delays. However, the system is designed so that all nodes will eventually synchronize...

Linear Regression 馃嚭馃嚫

Linear Regression is a fundamental type of supervised learning algorithm in statistics and machine learning. It's utilized for modeling and analyzing the relationship between a dependent variable and one or more independent variables. The goal is to predict continuous output values based on the inpu...

Moving Average Models 馃嚭馃嚫

Moving Average (MA) models are a fundamental class of univariate time series models used for forecasting and understanding temporal data. Unlike Autoregressive (AR) models, which rely on past values of the series itself, MA models utilize past forecast errors to model the current value of the series...

Data Manipulation Language Dml 馃嚭馃嚫

Data Manipulation Language, or DML for short, is like the practical toolkit for interacting with the data stored in your database. If you think of a database as a filing cabinet full of information, DML provides the commands to add new files, update existing ones, retrieve information, and remove fi...

Statistical Moments 馃嚭馃嚫

In both statistics and mechanics the word moment measures how much "leverage" the values of a quantity exert about a chosen reference point. In statistics the leverage is exerted by probability mass, in mechanics by physical mass, but the mathematics is identical: take a distance from the reference ...

Eigenvalues and Eigenvectors 馃嚭馃嚫

Eigenvalues and eigenvectors are foundational concepts in linear algebra, with extensive applications across various domains such as physics, computer graphics, and machine learning. These concepts are instrumental in decomposing complex matrix transformations, thereby simplifying numerical computat...

System Startup 馃嚭馃嚫

What happens between the time you push the power button and the time you see the login prompt...

Seasonality and Trends 馃嚭馃嚫

Seasonality and trends are fundamental components in time series data that significantly impact analysis and forecasting. Understanding and correctly modeling these elements are useful for accurate predictions and effective time series modeling...

Pipe and Redirect 馃嚭馃嚫

Input redirection (<) allows a command to read from a file, while output redirection (>) sends a command's output to a file. Streams like stdin, stdout, and stderr control the flow of data between commands and the system, where stdin is the input, stdout is the standard output, and stderr is the err...

Newton Polynomial 馃嚭馃嚫

Newton鈥檚 Polynomial, often referred to as Newton鈥檚 Interpolation Formula, is another classical approach to polynomial interpolation. Given a set of data points $(x_0,y_0),(x_1,y_1),\dots,(x_n,y_n)$ with distinct $x_i$ values, Newton鈥檚 method constructs an interpolating polynomial in a form that make...

Testy Jednostkowe 馃嚨馃嚤

Testy jednostkowe stanowi膮 kluczowy element w procesie wytwarzania oprogramowania, maj膮c na celu weryfikacj臋 indywidualnych fragment贸w kodu (zazwyczaj funkcji lub metod). Pozwalaj膮 programi艣cie mie膰 pewno艣膰, 偶e napisane przez niego komponenty dzia艂aj膮 zgodnie z oczekiwaniami oraz pomagaj膮 w identyfi...

Dwm 馃嚭馃嚫

The Dynamic Window Manager (DWM) is a minimal, lightweight, and highly efficient tiling window manager designed to help you manage application windows in a clean and distraction-free manner. Instead of overlapping windows as seen in traditional window managers, DWM organizes windows in a tiled layou...

Zmienne i Typy Danych 馃嚨馃嚤

W j臋zyku programowania, zmienna to identyfikator reprezentuj膮cy okre艣lony obszar pami臋ci, w kt贸rym przechowywane s膮 dane. Ka偶da zmienna ma przypisany konkretny typ danych, kt贸ry informuje komputer o rodzaju i zakresie informacji przechowywanej w zmiennej. Typ danych okre艣la tak偶e operacje, jakie mo偶...

Files and Dirs 馃嚭馃嚫

One of the fundamental skills is to navigate and manage files and directories effectively. Here, we focus on the crucial concepts that will facilitate your work within the file system...

Referencje i Kopiowanie 馃嚨馃嚤

W Pythonie rozr贸偶niamy dwa kluczowe poj臋cia: "referencj臋" oraz "kopiowanie"...

Logistic Regression 馃嚭馃嚫

Logistic regression is a statistical method used for modeling the probability of a binary outcome based on one or more predictor variables. It is widely used in various fields such as medicine, social sciences, and machine learning for classification problems where the dependent variable is dichotom...

Interakcja z Konsola 馃嚨馃嚤

Interakcja z konsol膮 jest kluczowym mechanizmem, kt贸ry pozwala programowi na komunikacj臋 z u偶ytkownikiem. Dzi臋ki niej mo偶na wy艣wietla膰 informacje oraz odbiera膰 dane wprowadzane przez u偶ytkownika. Podczas uruchomienia programu, system operacyjny dostarcza trzy g艂贸wne strumienie...

Gaussian Interpolation 馃嚭馃嚫

Gaussian Interpolation, often associated with Gauss鈥檚 forward and backward interpolation formulas, is a technique that refines the approach of polynomial interpolation when data points are equally spaced. Instead of using the Newton forward or backward interpolation formulas directly from one end of...

Networking 馃嚭馃嚫

Networking is the practice of connecting computers and devices so that they can communicate and exchange data. It forms the backbone of the internet, local area networks, and even small home networks. To grasp the intricacies of networking, it's imperative to familiarize oneself with key terminologi...

Autocovariance Function 馃嚭馃嚫

Autocovariance functions describe how values of a time series relate to their lagged counterparts, measuring the joint variability between a series at time $t$ and its value at a previous time $t-k$ (where $k$ is the lag). In autoregressive models, these relationships are expressed through coefficie...

Nfs 馃嚭馃嚫

NFS, or Network File System, is a protocol that allows different computers to share files over a network as if they were on the local machine. This means you can access files on another computer just like you would access files on your own, making collaboration and resource sharing much easier. NFS ...

Linear Interpolation 馃嚭馃嚫

Linear interpolation is one of the most basic and commonly used interpolation methods. The idea is to approximate the value of a function between two known data points by assuming that the function behaves linearly (like a straight line) between these points. Although this assumption may be simplist...

Testy 馃嚨馃嚤

Testy w kontek艣cie in偶ynierii oprogramowania odnosz膮 si臋 do procesu weryfikacji i walidacji kodu, aby zapewni膰, 偶e dzia艂a on zgodnie z oczekiwaniami i spe艂nia okre艣lone wymagania. Testy pomagaj膮 w wykrywaniu b艂臋d贸w i niesp贸jno艣ci, kt贸re mog膮 prowadzi膰 do nieprawid艂owego dzia艂ania oprogramowania...

Ssh and Scp 馃嚭馃嚫

SSH, SFTP, and SCP are network protocols that provide secure data communication and file transfer over insecure networks. Here's a brief overview of each...

Liczby Losowe 馃嚨馃嚤

Liczby losowe odgrywaj膮 kluczow膮 rol臋 w wielu obszarach nauki, technologii i przemys艂u, takich jak symulacje komputerowe, gry, analiza statystyczna, uczenie maszynowe, a tak偶e w badaniach fizycznych i matematycznych. W Pythonie za generowanie liczb losowych odpowiada modu艂 random, kt贸ry zapewnia sze...

Type i and Type Ii Errors 馃嚭馃嚫

Hypothesis testing is a core concept in statistics that allows researchers to evaluate assumptions about a population by examining sample data. In this process, we start with a null hypothesis, denoted by $H_0$, which represents a baseline or default position, and an alternative hypothesis, $H_a$, w...

Introduction 馃嚭馃嚫

Linux is a versatile and powerful open-source operating system that forms the backbone of countless technological infrastructures, from servers and desktops to mobile devices and embedded systems. Known for its stability, security, and flexibility, Linux provides a robust platform that can be custom...

Wskazniki 馃嚨馃嚤

Wska藕nik w j臋zyku C++ to specjalny typ zmiennej, kt贸ry przechowuje adres innego miejsca w pami臋ci. Dzi臋ki wska藕nikom mo偶na nie tylko odczytywa膰, ale tak偶e modyfikowa膰 warto艣ci przechowywane pod tym adresem. Operowanie na wska藕nikach jest kluczowe dla efektywnego zarz膮dzania pami臋ci膮 i dynamicznego a...

Git Internals 馃嚭馃嚫

Git stores your project as a graph of immutable objects. At the leaves are blobs: raw file contents with no filenames attached. Trees sit above blobs and act like directories; a tree is just a list that maps a filename and a mode to either another tree (subfolder) or a blob (file). Commits point to ...

Mounting 馃嚭馃嚫

If you come from a Windows world, the idea of mounting might sound strange at first, since Linux handles storage devices and filesystems quite differently. In Linux, "mounting" is the process of making a storage device (such as a hard disk partition, USB drive, or network share) accessible within th...

Multiple Regression 馃嚭馃嚫

Multiple linear regression is a statistical technique used to model the relationship between a single dependent variable and two or more independent variables. It extends the concept of simple linear regression by incorporating multiple predictors to explain the variability in the dependent variable...

Serializable vs Repeatable Read 馃嚭馃嚫

Transaction isolation levels are essential for maintaining data integrity and managing concurrency in database systems. Two of the highest isolation levels are Serializable and Repeatable Read, each offering different guarantees to prevent anomalies that can occur when multiple transactions interact...