Decision trees are a popular and intuitive method used in artificial intelligence (AI) for classification and regression tasks. They represent a model in the form of a tree-like structure, where each internal node corresponds to a decision based on an input feature, each branch represents the outcome of that decision, and each leaf node signifies Read More …
Tag: learn
SVM – Support Vector Machines
Support Vector Machines (SVMs) are a powerful supervised learning algorithm used in artificial intelligence (AI) for classification and regression tasks. Developed in the 1990s by Vladimir Vapnik and his colleagues, SVMs are particularly effective in high-dimensional spaces and are known for their robustness in handling both linear and non-linear data. How SVMs Work The primary Read More …
Generative AI
While “Generative AI” isn’t an acronym, it’s a fundamental concept in the field. Think of it like this: traditional AI often focuses on analyzing existing data – identifying patterns, classifying information, or making predictions based on what it has already seen. Generative AI, on the other hand, goes a step further; it learns the underlying Read More …
hacker TV – Understanding buffer overflow exploitation
The fascinating interplay of CPU, stack, C-compiler and shellcode in a nutshell Everything started with Aleph One’s paper “Smashing the Stack for Fun and Profit”. These techniques are still the basis for modern exploitation of buffer, heap and format string vulnerabilities. We will give a swift overview about C functions, stack usage, assembler, gcc, gdb Read More …
Linear Regression in Artificial Intelligence
Linear regression is a fundamental statistical method used in artificial intelligence (AI) and machine learning for modeling the relationship between a dependent variable and one or more independent variables. It is particularly useful for predictive analytics, where the goal is to forecast outcomes based on input data. At its core, linear regression aims to find the Read More …
Neural Networks: The Foundation of Deep Learning
The quest to replicate the remarkable learning capabilities of the human brain has long been a central theme in the field of Artificial Intelligence (AI). Neural networks, inspired by the structure and function of biological nervous systems, represent a significant step towards achieving this goal. Their evolution, culminating in the powerful techniques of deep learning, Read More …
AZ 900 – Part III – Microsoft Entra ID
Microsoft Entra ID Overview What is Microsoft Entra ID? Microsoft Entra ID, formerly known as Azure Active Directory (Azure AD), is a cloud-based identity and access management service provided by Microsoft. It enables organizations to manage user identities and access to resources securely. Key Features of Microsoft Entra ID Identity Management: User Lifecycle Management: Entra ID Read More …
GPU – Graphics Processing Units
Graphics Processing Units (GPUs) have become a cornerstone of modern computing, particularly in the field of artificial intelligence (AI). Originally designed to accelerate the rendering of images and graphics in video games and applications, GPUs have evolved into powerful parallel processors capable of handling the massive computational demands of AI workloads. This article explores the Read More …
GRU – Gated Recurrent Units
Gated Recurrent Units (GRUs) are a type of recurrent neural network (RNN) architecture designed to address some of the limitations of traditional RNNs, particularly in handling sequential data. Introduced by Kyunghyun Cho and his colleagues in 2014, GRUs have gained popularity in various applications within artificial intelligence (AI), especially in natural language processing, time series Read More …
What is the Internet of Things – IoT
The Internet of Things, commonly known as IoT, refers to a network of physical objects or “things” that are connected to the internet and can communicate with each other. These objects can range from everyday household items to sophisticated industrial machines. The key idea behind IoT is that these devices can collect and share data, Read More …