Articles

Machine Learning System Design 馃嚭馃嚫

These notes outline the key strategies and considerations for developing a spam classification system. This process involves several steps, from feature selection to error analysis, and addresses the challenges of working with skewed datasets...

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...

Preprocesor 馃嚨馃嚤

Preprocesor to specjalne narz臋dzie, kt贸re dzia艂a na kodzie 藕r贸d艂owym przed w艂a艣ciwym procesem kompilacji. W kontek艣cie j臋zyk贸w programowania takich jak C i C++, preprocesor jest integraln膮 cz臋艣ci膮 kompilatora, kt贸ra przekszta艂ca kod 藕r贸d艂owy na podstawie specjalnych dyrektyw. Dyrektywy preprocesora ...

Picards Method 馃嚭馃嚫

Picard's method, alternatively known as the method of successive approximations, is a tool primarily used for solving initial-value problems for first-order ordinary differential equations (ODEs). The approach hinges on an iterative process that approximates the solution of an ODE. Though this metho...

Photo Ocr 馃嚭馃嚫

Optical Character Recognition (OCR) enables computers to interpret text within images. This process involves a machine learning pipeline comprising several steps, each focused on a specific aspect of OCR, like pedestrian or text detection. The pipeline integrates various techniques, including data s...

Html 馃嚭馃嚫

The HTML document structure provides a standardized way to structure content on the web. Adhering to this structure ensures browser compatibility and proper rendering of web pages...

Environment Variable 馃嚭馃嚫

In Unix鈥恠tyle shells, variables let you store and reuse pieces of information鈥攁nything from your editor preference (EDITOR=vim) to the path where executables live (PATH=/usr/local/bin:$PATH) or temporary data in a script (count=0). You鈥檒l encounter two main kinds...

Firewall 馃嚭馃嚫

A firewall is like a guard for your computer. It keeps your computer safe from others who shouldn't use it. It checks the information going in and out and follows safety rules. In Linux, there are several utilities to manage your firewall, including iptables, ufw, and firewalld...

Bisection Method 馃嚭馃嚫

The bisection method is a classical root-finding technique used extensively in numerical analysis to locate a root of a continuous function $f(x)$ within a specified interval $[a, b]$. It belongs to the family of bracketing methods, which use intervals known to contain a root and systematically redu...

Eulers Method 馃嚭馃嚫

Euler's Method is a numerical technique applied in the realm of initial value problems for ordinary differential equations (ODEs). The simplicity of this method makes it a popular choice in cases where the differential equation lacks a closed-form solution. The method might not always provide the mo...

Multiple Comparisons 馃嚭馃嚫

When conducting multiple hypothesis tests simultaneously, the likelihood of committing at least one Type I error (falsely rejecting a true null hypothesis) increases. This increase is due to the problem known as the "multiple comparisons problem" or the "look-elsewhere effect". The methods to addres...

Task State Analysis 馃嚭馃嚫

Monitoring the performance of applications often involves keeping an eye on resource usage like CPU load, memory consumption, and disk I/O. However, to truly understand what's happening inside an application, especially one that's multi-threaded, it's helpful to look at the states of its threads ove...

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...

Analysis of Categorical Data 馃嚭馃嚫

The chi-square ($\chi^2$) test is a statistical method used to determine if there is a significant difference between expected and observed frequencies in one or more categories. It helps assess whether any observed deviations could be due to chance...

Differentiation 馃嚭馃嚫

Differentiation is a cornerstone concept in calculus, fundamental to understanding how quantities change in relation to one another. At its core, differentiation is used to determine the rate at which a particular quantity is changing at a specific point. This rate of change is quantitatively expres...

Recommendation Systems 馃嚭馃嚫

Recommendation systems are a fundamental component in the interface between users and large-scale content providers like Amazon, eBay, and iTunes. These systems personalize user experiences by suggesting products, movies, or content based on past interactions and preferences...

Types of Databases 馃嚭馃嚫

Databases are essential tools that store, organize, and manage data for various applications. They come in different types, each designed to handle specific data models and use cases. Understanding the various database types helps in selecting the right one for your application's needs. Let's delve ...

Newtons Method 馃嚭馃嚫

Newton's method (or the Newton-Raphson method) is a powerful root-finding algorithm that exploits both the value of a function and its first derivative to rapidly refine approximations to its roots. Unlike bracketing methods that work by enclosing a root between two points, Newton's method is an ope...

Partial Differential Equations 馃嚭馃嚫

A partial differential equation (PDE) is an equation that involves...

Systems of Equations 馃嚭馃嚫

A linear system of equations is a collection of one or more linear equations involving the same set of variables. Such systems arise in diverse areas such as engineering, economics, physics, and computer science. The overarching goal is to find values of the variables that simultaneously satisfy all...

Synchronization 馃嚭馃嚫

When collaborating on a project, it's essential to keep your local repository updated with changes made by others in the team. Git provides powerful commands to facilitate this process...

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...

Requirements Analysis 馃嚭馃嚫

Designing a new database is like planning a city鈥攜ou must know what its users need before you build it. Database requirements analysis means collecting clear details about what the system should do to meet an organization鈥檚 goals. This step determines how the data will be stored, retrieved, and main...

Logistic Regression 馃嚭馃嚫

Logistic regression is a statistical method used for classification in machine learning. Unlike linear regression, which predicts continuous values, logistic regression predicts discrete outcomes, like classifying an email as spam or not spam...

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...

Praca z Plikami i Folderami 馃嚨馃嚤

Praca z plikami i folderami jest nieod艂膮czn膮 cz臋艣ci膮 wielu aplikacji i skrypt贸w w Pythonie. Dzi臋ki bogatej bibliotece standardowej, Python oferuje szereg narz臋dzi, kt贸re umo偶liwiaj膮 efektywn膮 manipulacj臋 danymi na dysku. Niezale偶nie od tego, czy chcesz odczyta膰 dane z pliku tekstowego, zapisa膰 wynik...

Wyrazenia Regularne 馃嚨馃嚤

Wyra偶enia regularne to pot臋偶ne narz臋dzie do wyszukiwania, analizy i manipulacji tekstem. Umo偶liwiaj膮 one definiowanie wzorc贸w tekstowych, kt贸re mo偶na nast臋pnie odnale藕膰 w ci膮gach znak贸w. Wyra偶enia regularne s膮 cz臋sto wykorzystywane do...

Przeciazanie 馃嚨馃嚤

Przeci膮偶anie (ang. overloading) to mechanizm programistyczny umo偶liwiaj膮cy definiowanie wielu funkcji lub operator贸w o tej samej nazwie, ale r贸偶ni膮cych si臋 sygnatur膮, czyli list膮 parametr贸w i ich typami. Dzi臋ki temu kompilator potrafi wybra膰 odpowiedni膮 wersj臋 funkcji lub operatora na podstawie kont...

Root Finding 馃嚭馃嚫

Root-finding algorithms aim to solve equations of the form...