Found 546 Articles for Algorithms

Monitors are a synchronization tool used in process synchronization to manage access to shared resources and coordinate the actions of numerous threads or processes. When opposed to low-level primitives like locks or semaphores, they offer a higher-level abstraction for managing concurrency. Let's examine monitors to see what they are, why they are utilized, and how process synchronization uses them − What are Monitors? A synchronization technique called a monitor unifies operations and data structures into a single entity. They contain both operations that can be carried out on shared resources. By allowing only one thread or process to execute the ... Read More

Introduction Inter process communication (IPC) was the transfer of information and interaction between multiple processes in an electronic system. Every operation in a tasking process structure runs on its own, as well as communication between them is required if these processes require to exchange of information or coordination of what they are doing IPC is an essential part of contemporary operating systems and can be employed in a variety of applications, which include simple control-line appliances to complicated systems with distributed components. The primary goal of IPC is to make the transmission of knowledge among processes more private and effective. ... Read More

Introduction Message-based communication (MBC) is a type of communication within a process (IPC) in which multiple procedures share data by sending statements to the other person. The transmission procedure structures an e-mail that included what needs to be passed on and provides it to the process of reception in this form of interpersonal interaction. In turn, the procedure for receiving gets the communication and herbal extracts whatever data is required. Utilizing memo-based interactions in IPC has multiple benefits. One of the primary benefits is that it offers a simple and adaptable way to facilitate interaction between procedures. Asynchronous programming message ... Read More

Memory protection is a crucial component of operating systems which permits them to avert one method's storage from being utilized by another. Memory safeguarding is vital in contemporary operating systems since it enables various programs to run in tandem lacking tampering with their respective storage space The primary goal of safeguarding memory is to avert an application from accessing RAM without permission. Whenever an approach attempts to use memory that it does not have permission to enter, the computer's operating system will stop and end the process. This hinders the program from obtaining memory that it should not. Memory backup ... Read More

What is a Look Aside Buffer? A Look-aside Buffer (LAB) is a type of cache memory that is used in computer systems to store frequently accessed data. The LAB is located between the CPU and the main memory, and it acts as a high-speed buffer to improve system performance. The LAB works by caching a portion of the data from the main memory that is frequently accessed by the CPU. When the CPU requests data from the main memory, the LAB first checks if the data is present in the buffer. If the data is found in the LAB, it ... Read More

Introduction A loss function, often referred to as a cost function or an error function, is a metric used in data science to assess how well predictions made by a machine learning model match the actual values or goals in the training data. It quantifies the difference between real and predicted values and offers a single scalar number that exemplifies the model's effectiveness. Problems with Multi−Collinearity n is the number of data points in the dataset. y represents the true values of the target variable. ŷ represents the predicted values generated by the regression model. The choice of ... Read More

Introduction Random forest and gradient boosting are two of the most popular and powerful machine learning algorithms for classification and regression tasks. Both algorithms belong to the family of ensemble learning methods and are used to improve model accuracy by combining the strengths of multiple weak learners. Despite their similarities, random forest and gradient boosting differ in their approach to model building, performance, and interpretability. When you're finished reading, you'll understand when to use each algorithm and how to select the one that's ideal for your unique problem. What is Random Forest? Random Forest, a ... Read More

Introduction Mel Frequency Cepstral Coefficients (MFCCs) is a widely used feature extraction technique for audio processing, particularly in speech recognition applications. A logarithmic compression, a filter bank, and the discrete Fourier transform (DFT) of audio signals in brief time intervals are used to create MFCCs. You will have a thorough understanding of how to train MFCC using machine learning algorithms by the end of this article. What is an MFCC MFCC stands for Mel−Frequency Cepstral Coefficients. It is a widely used feature extraction technique in audio signal processing and speech recognition. The MFCC algorithm is based on the human ... Read More

The original Titanic project in Machine learning is aimed at finding whether a person on the Titanic will survive or not. However, this project named the spaceship Titanic is a bit different. The problem statement here is that a spaceship has people going on a trip in space. But due to a collision, a few people need to be transported to some other dimension or planet. Now this can’t be done randomly. So, we will use a Machine Learning technique in Python to find out who will get transported and who will not. Algorithm Step 1 − ... Read More

Machine learning is a subset of artificial intelligence (AI) that enables machines to learn from data without being explicitly programmed. From predicting customer behavior to recognizing images and speech, it is a rapidly growing field. Adding machine learning to your toolkit can help you excel in many sectors such as finance, fraud detection, automobile, research, etc. Day 1-5: Basics of Machine Learning Before diving into its technical aspects, it is imperative to understand the fundamental concepts of machine learning. Learn about the types of machine learning, such as supervised, unsupervised, and reinforcement learning. Focus on key points, ... Read More