Articles

Linear Regression Multiple Variables 馃嚭馃嚫

Multiple linear regression extends the concept of simple linear regression to multiple independent variables. This technique models a dependent variable as a linear combination of several independent variables...

Thin Plate Spline Interpolation 馃嚭馃嚫

Thin Plate Spline (TPS) Interpolation is a non-parametric, spline-based method for interpolating scattered data in two or more dimensions. Originally arising in the context of fitting a smooth surface through a set of points in $\mathbb{R}^2$, thin plate splines can be generalized to higher dimensio...

Dokumentacja 馃嚨馃嚤

Dokumentacja jest istotnym elementem ka偶dego projektu programistycznego. Umo偶liwia u偶ytkownikom zrozumienie, jak dzia艂a aplikacja, jak jest zbudowana, oraz jakie funkcje oferuje. Odpowiednio przygotowana dokumentacja pomaga r贸wnie偶 innym programistom w szybkim zrozumieniu kodu, u艂atwiaj膮c jego dalsz...

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...

Total Probability 馃嚭馃嚫

The law of total probability allows for the computation of the probability of an event A based on a set of mutually exclusive and exhaustive events. It's particularly useful when the overall sample space is divided into several distinct scenarios, or partitions, that cover all possible outcomes. The...

Javascript Frameworks 馃嚭馃嚫

A software framework is a pre-written app skeleton on which you may further develop. It is a collection of files and folders to which you may modify as well as add your files and folders. A framework addresses following development issues...

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...

Time Series Modeling 馃嚭馃嚫

Time series modeling involves analyzing data points collected or recorded at specific time intervals to understand underlying structures and make forecasts. Various models, such as Autoregressive (AR), Moving Average (MA), and their combinations (ARMA, ARIMA), are employed to capture different aspec...

Student T Distribution 馃嚭馃嚫

The Student's t-distribution, or simply t-distribution, is a continuous probability distribution that arises when estimating the mean of a normally distributed population in situations where the sample size is small and the population standard deviation is unknown. The t-distribution is denoted as ...

Two Phase Locking 馃嚭馃嚫

Two-Phase Locking (2PL) is a fundamental protocol used in database systems to ensure the consistency and serializability of transactions. By carefully managing how transactions acquire and release locks on resources, 2PL helps maintain data integrity when multiple transactions occur concurrently...

Midpoint Rule 馃嚭馃嚫

The Midpoint Rule is a robust numerical method for approximating definite integrals. It seeks to estimate the area under a curve by partitioning it into a collection of rectangles and then summing the areas of these rectangles. This method is particularly useful when an antiderivative of the functio...

Petle 馃嚨馃嚤

P臋tle to kluczowe konstrukcje w programowaniu, kt贸re pozwalaj膮 na wielokrotne wykonanie okre艣lonego fragmentu kodu w zale偶no艣ci od ustalonych warunk贸w lub do momentu osi膮gni臋cia konkretnego celu. Dzi臋ki p臋tlom mo偶na automatyzowa膰 powtarzalne procesy, co znacznie przyspiesza dzia艂anie program贸w i u艂a...

Conditional Probability 馃嚭馃嚫

Conditional Probability is the likelihood of an event occurring given that another event has already occurred. It is denoted as $P(A|B)$, representing the probability of event $A$ happening, assuming event $B$ has already taken place. This concept is crucial in understanding dependent events in prob...

Trapezoidal Rule 馃嚭馃嚫

The Trapezoidal Rule is a fundamental numerical integration technique employed to approximate definite integrals, especially when an exact antiderivative of the function is difficult or impossible to determine analytically. This method is widely used in various fields such as engineering, physics, a...

Stl 馃嚨馃嚤

Standard Template Library (STL) to jedna z najwa偶niejszych cz臋艣ci j臋zyka C++, kt贸ra znacz膮co u艂atwia programowanie dzi臋ki dost臋powi do gotowych, wydajnych i elastycznych struktur danych oraz algorytm贸w. STL jest bibliotek膮 szablon贸w, co oznacza, 偶e jej komponenty s膮 generyczne i mog膮 pracowa膰 z r贸偶n...

Hosting Websites 馃嚭馃嚫

So, you've built your website, but it's still confined to your local machine? Web hosting is the bridge that makes your site accessible to the world. Here's a guide on how to get your website live...

Dynamic Programming 馃嚭馃嚫

Dynamic Programming (DP) is a way to solve complex problems by breaking them into smaller, easier problems. Instead of solving the same small problems again and again, DP stores their solutions in a structure like an array, table, or map. This avoids wasting time on repeated calculations and makes t...

Neural Networks Representation 馃嚭馃嚫

Neural networks represent a cornerstone in the field of machine learning, drawing inspiration from neurological processes within the human brain. These networks excel in processing complex datasets with numerous features, transcending traditional methods like logistic regression in both scalability ...

Ports 馃嚭馃嚫

In computer networking, ports serve as endpoints for communication between devices, similar to doors through which data flows in and out of a computer. In today's interconnected digital landscape, network security is paramount. Network ports are critical points that require diligent management and s...

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...

Sqlite 馃嚭馃嚫

SQLite is a self-contained, serverless, and zero-configuration SQL database engine that's known for its simplicity and efficiency. Unlike traditional databases that require a separate server to operate, SQLite operates directly on ordinary disk files. This makes it an ideal choice for small to mediu...

Descriptive Statistics 馃嚭馃嚫

Descriptive statistics offer a summary of the main characteristics of a dataset or sample. They facilitate the understanding and interpretation of data by providing measures of central tendency, dispersion, and shape. In this section, we will discuss the essential concepts and measures in descriptiv...

Proces Kompilacji 馃嚨馃嚤

Proces kompilacji to z艂o偶ony ci膮g etap贸w, kt贸ry przekszta艂ca kod 藕r贸d艂owy napisany w j臋zyku wysokiego poziomu na kod maszynowy zrozumia艂y dla procesora. Kompilacja zapewnia, 偶e kod jest poprawny pod wzgl臋dem sk艂adniowym i semantycznym, a tak偶e optymalizuje go pod k膮tem wydajno艣ci. Poni偶ej szczeg贸艂ow...

Regularization 馃嚭馃嚫

Regularization is a technique used to prevent overfitting in machine learning models, ensuring they perform well not only on the training data but also on new, unseen data...

Database Caching 馃嚭馃嚫

Database caching is a powerful performance optimization technique that involves temporarily storing frequently accessed data in a cache for quick retrieval. By keeping commonly requested information readily available, caching reduces the time it takes to access data and lessens the load on the datab...

Ui 馃嚭馃嚫

UI is a important aspect of frontend development, as it deals with the elements that users directly interact with. When designing the UI, it鈥檚 important to think about how color choices, overall layout, responsiveness, and interactive elements come together to make the product look appealing and eas...

Row Based vs Column Based Databases 馃嚭馃嚫

Exploring the differences between row-based and column-based databases can help you make informed decisions about data storage and retrieval strategies. This guide delves into the characteristics, use cases, and trade-offs of these two database models, providing clarity on how each can impact perfor...

Reshaping Arrays 馃嚭馃嚫

In data manipulation and analysis, adjusting the shape or dimensionality of arrays and matrices is a common and essential task. Reshaping allows you to reorganize data without altering its underlying values, making it suitable for various applications such as data preprocessing, machine learning mod...

Simple Linear Regression 馃嚭馃嚫

Simple linear regression is a fundamental statistical method used to model the relationship between a single dependent variable and one independent variable. It aims to find the best-fitting straight line through the data points, which can be used to predict the dependent variable based on the indep...

Pip i Pypi 馃嚨馃嚤

PIP (Python Package Installer) to mened偶er pakiet贸w dla j臋zyka Python, kt贸ry u艂atwia zarz膮dzanie pakietami z repozytorium PyPI (Python Package Index). PIP pozwala na 艂atw膮 instalacj臋, aktualizacj臋 i usuwanie pakiet贸w, co jest nieocenione przy rozbudowie projekt贸w i zarz膮dzaniu zale偶no艣ciami...

Lu Decomposition 馃嚭馃嚫

LU Decomposition (or LU Factorization) is a powerful and widely used technique in numerical linear algebra for solving systems of linear equations, computing inverses, and determining determinants. The core idea is to factorize a given square matrix $A$ into the product of a lower-triangular matrix ...

Large Scale Machine Learning 馃嚭馃嚫

Training machine learning models on large datasets poses significant challenges due to the computational intensity involved. To effectively handle this, various techniques such as stochastic gradient descent and online learning are employed. Let's delve into these methods and understand how they fac...

Mongodb 馃嚭馃嚫

MongoDB is a popular open-source NoSQL database management system that offers a flexible and scalable approach to data storage. Instead of using the traditional table-based relational database structure, MongoDB stores data in flexible, JSON-like documents, which means fields can vary from document ...

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...

Standard Error and Lln 馃嚭馃嚫

Expected Value (E), also known as the mean, is the long-run average of a random variable, representing the value we anticipate on average from repeated random draws from a population...