Articles

Accessing Modifying Elements 馃嚭馃嚫

In NumPy, arrays are data structures that store elements in a grid-like fashion. Understanding how to access and modify these elements is helpful for efficient data manipulation and analysis. NumPy arrays are 0-indexed, meaning the first element is accessed with index 0, the second with index 1, and...

Review of Linear Algebra 馃嚭馃嚫

Linear Algebra forms the backbone of many machine learning algorithms, including linear regression. Understanding matrices and vectors is fundamental in this context...

Basic Terminology 馃嚭馃嚫

Let's start by defining some helpful terms and emphasizing the distinctions between related concepts. In general those concepts are universal and may be applied to any programming language. The differences between the languages will be discussed in greater detail later, when we attempt to explain th...

Programowanie Funkcyjne 馃嚨馃嚤

Programowanie funkcyjne, znane r贸wnie偶 pod angielsk膮 nazw膮 functional programming, to paradygmat programowania, kt贸ry mo偶e wydawa膰 si臋 nieco odmienny od tradycyjnych metod. Zamiast skupia膰 si臋 na sekwencji krok贸w i zmianie stanu programu, jak to ma miejsce w programowaniu imperatywnym, programowanie...

Programowanie Wstep 馃嚨馃嚤

Program to precyzyjnie sformu艂owany zestaw instrukcji lub polece艅, kt贸re komputer wykonuje w celu rozwi膮zania konkretnego problemu lub realizacji okre艣lonego zadania. Instrukcje te s膮 napisane w j臋zyku programowania, kt贸ry jest zrozumia艂y dla programist贸w i mo偶e by膰 przetworzony na j臋zyk zrozumia艂y ...

Database Pages 馃嚭馃嚫

Diving into the fundamentals of database systems reveals that database pages are essential units of storage used to organize and manage data on disk. They play a pivotal role in how efficiently data is stored, retrieved, and maintained within a Database Management System (DBMS). Let's explore what d...

Confidence Intervals 馃嚭馃嚫

Confidence intervals (CIs) provide a range of values which are believed, with a certain degree of confidence, to contain a population parameter, like the mean or proportion. They are constructed from a sampled data set and offer an interval estimate for the parameter of interest...

Zmienne 馃嚨馃嚤

Zmienne pe艂ni膮 kluczow膮 rol臋 w programowaniu, umo偶liwiaj膮c przechowywanie i manipulacj臋 danymi. Dzi臋ki nim mo偶emy zapisywa膰, modyfikowa膰 i odzyskiwa膰 warto艣ci w trakcie wykonywania programu. Zrozumienie zmiennych i ich typ贸w jest podstaw膮 do pisania efektywnego i poprawnego kodu...

Protocols 馃嚭馃嚫

In today鈥檚 connected world, front-end developers do far more than style web pages and craft user interfaces. They also need to understand the underlying network protocols that shape how data travels between their applications and the servers that power them. By mastering the inner workings of protoc...

Relaxation Method 馃嚭馃嚫

The relaxation method, commonly referred to as the fixed-point iteration method, is an iterative approach used to find solutions (roots) to nonlinear equations of the form $f(x) = 0$. Instead of directly solving for the root, the method involves rewriting the original equation in the form...

Thin Plate Spline Interpolation 馃嚭馃嚫

Thin鈥疨late鈥疭pline (TPS) interpolation is a non鈥憄arametric, spline鈥慴ased technique for fitting a smooth surface through scattered data in two or more spatial dimensions. In its classical 2鈥慏 form one seeks a function $f\colon\mathbb R^{2}\to\mathbb R$ that passes through specified data points while m...

Normal Curve and z Score 馃嚭馃嚫

A normal distribution (often referred to as the normal curve or Gaussian distribution) is a continuous probability distribution that is symmetric about the mean, where most of the observations cluster around the central peak and taper off symmetrically towards both ends. Many real-world datasets suc...

Sorting 馃嚭馃嚫

In the realm of computer science, 'sorting' refers to the process of arranging a collection of items in a specific, predetermined order. This order is based on certain criteria that are defined beforehand...

Support Vector Machines 馃嚭馃嚫

Support Vector Machines (SVMs) are powerful tools in machine learning, and their formulation can be derived from logistic regression cost functions. This article delves into the mathematical underpinnings of SVMs, starting with logistic regression and transitioning to the SVM framework...

Napisy 馃嚨馃嚤

Napisy s膮 fundamentalnym elementem wielu aplikacji programistycznych, s艂u偶膮c do przechowywania i manipulacji tekstem, takim jak dane wej艣ciowe u偶ytkownika, komunikaty systemowe, informacje o b艂臋dach i wiele innych. W j臋zykach C i C++, napisy s膮 reprezentowane na r贸偶ne sposoby, co wynika z ewolucji t...

Vector Operations 馃嚭馃嚫

A vector is a mathematical entity characterized by both magnitude and direction. Vectors are essential in various fields such as linear algebra, calculus, physics, computer science, data analysis, and machine learning. In the context of NumPy, vectors are represented as one-dimensional arrays, enabl...

Golden Ratio Search 馃嚭馃嚫

The Golden Ratio Search is a technique employed for locating the extremum (minimum or maximum) of a unimodal function over a given interval. Unlike gradient-based or derivative-requiring methods, this approach uses only function evaluations, making it broadly applicable even when derivatives are dif...

Isolation 馃嚭馃嚫

Isolation is a fundamental concept in database systems that ensures each transaction operates independently without interfering with others. When multiple transactions occur simultaneously, isolation guarantees that the operations within one transaction are not visible to other transactions until th...

Cubic Spline Interpolation 馃嚭馃嚫

Cubic spline interpolation is a refined mathematical tool frequently used within numerical analysis. It's an approximation technique that employs piecewise cubic polynomials, collectively forming a cubic spline. These cubic polynomials are specifically engineered to pass through a defined set of dat...

Git Server 馃嚭馃嚫

Running your own Git server is about owning your source of truth. Your repos live where you decide, under rules you set, at a pace you control. That means you decide who can read and write, how code moves to production, and how the system grows as your team and projects grow. It鈥檚 pure Git under the...

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...

Query Optimization Techniques 馃嚭馃嚫

Query optimization is about making SQL queries run more efficiently. The database figures out the best way to execute a query so it uses fewer resources and runs faster. This helps keep the system responsive and makes things smoother for the users and applications that depend on the data...

Primary Key vs Secondary Key 馃嚭馃嚫

Grasping the concepts of primary and secondary keys is essential when working with relational databases. These keys play a pivotal role in ensuring data integrity, uniquely identifying records, and establishing relationships among different tables. Let's dive into what they are, how they function, a...

Lagrange Polynomial Interpolation 馃嚭馃嚫

Lagrange Polynomial Interpolation is a widely used technique for determining a polynomial that passes exactly through a given set of data points. Suppose we have a set of $(n+1)$ data points $(x_0, y_0), (x_1, y_1), \ldots, (x_n, y_n)$ where all $x_i$ are distinct. The aim is to find a polynomial $L...

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...

Introduction to Probability 馃嚭馃嚫

Probability theory offers a structured approach to assessing the probability of events, allowing for logical and systematic reasoning about their likelihood...

Ldap 馃嚭馃嚫

LDAP is a protocol used to access and manage directory information over an IP network. It is open, vendor-neutral, and an industry standard. LDAP is commonly used for centralized authentication, where user credentials and permissions are managed in a single directory and applied across multiple syst...

Git 馃嚨馃嚤

Aby zainstalowa膰 Git, nale偶y pobra膰 instalator z oficjalnej strony https://git-scm.com/downloads i przej艣膰 przez proces instalacji. W systemie Linux dla wersji opartych na Debianie, mo偶na u偶y膰 polecenia...

Tags 馃嚭馃嚫

Tags mark exact commits. They鈥檙e perfect for releases, rollbacks, changelogs, and CI/CD triggers. Unlike branches, tags don鈥檛 move鈥攅ver鈥攕o you can always point to the exact build you shipped...

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 ...

Regression 馃嚭馃嚫

Regression analysis and curve fitting are important tools in statistics, econometrics, engineering, and modern machine-learning pipelines. At their core they seek a deterministic (or probabilistic) mapping $\widehat f: \mathcal X \longrightarrow \mathcal Y$ that minim...

Integration Introduction 馃嚭馃嚫

$$\int_{1}^{2} x^2 dx \approx \sum_{i=1}^{10} h \cdot f(1 + 0.1i)$...

Lambdy 馃嚨馃嚤

Funkcje lambda, zwane r贸wnie偶 funkcjami anonimowymi, s膮 narz臋dziem szeroko stosowanym w programowaniu funkcyjnym. S膮 to kr贸tkie, jedno-wierszowe funkcje, kt贸re nie posiadaj膮 przypisanej nazwy i s膮 u偶ywane tam, gdzie zdefiniowanie pe艂noprawnej funkcji by艂oby nadmiarowe lub zb臋dne. W Pythonie i wielu ...

Designing Parallel Programs 馃嚭馃嚫

Designing parallel programs involves breaking down computational tasks into smaller, concurrent units to be executed simultaneously. This approach leverages the power of multiple processors to enhance performance and efficiency. Key steps in this process include partitioning, communication, agglomer...

Dimensionality Reduction 馃嚭馃嚫

Principal Component Analysis (PCA) is a widely used technique in machine learning for dimensionality reduction. It simplifies the complexity in high-dimensional data while retaining trends and patterns...