Tanvi AusareforLatest AI, ML & GPU Updates | NeevCloudblog.neevcloud.com·Jan 24, 2025How Can AI Predict and Prevent System Failures in Cloud Operations?Introduction The rapid evolution of technology has led to the integration of Artificial Intelligence (AI) and Machine Learning (ML) in various sectors, particularly in cloud operations. As businesses increasingly rely on AI SuperCloud infrastructure,...AIMachine Learning (ML)
Arka Infotecharkainfotech.hashnode.dev·Jan 10, 2025Top 5 Algorithms for Cybersecurity Threat DetectionIntroduction In today's digital landscape, cybersecurity is more critical than ever. With the rise of cyberattacks, data breaches, and hacking attempts, it has become essential to have robust systems in place to detect and mitigate potential threats....10 likes#cybersecurity
Bhoomika Lohanainsightsalgorithms.hashnode.dev·Dec 22, 2024Fraud Detection using Machine LearningThe banking industry processes billions of transactions daily, making it a major target for fraudulent activities. Traditional fraud detection methods—rule-based systems, manual reviews by fraud analysts, or static thresholds with fixed limits—often ...1 like·31 readsData Science
Gayathri Selvaganapathiaienthusiast.hashnode.dev·Aug 30, 2024Anomaly Detection in Building DataTable of Contents Introduction Key Areas of Anomaly Detection in Building Management 2.1 Proactive Maintenance 2.2 Energy Efficiency 2.3 Occupant Comfort 3. Understanding the Algorithms 3.1 Angle-Based Outlier Detector (ABOD) 3.2 Gaussian ...1 likeanomaly detection
Danny Crastoblog.danwald.me·Jul 28, 2024Z-Scores in anomaly detection FTWBefore Slack moved to release bot they used to have human deployment commanders work in 2 hour shifts to walk through deployment steps and monitor metrics for anomalies. This was their CI/CD. The main reasons why people follow CD is to manage risk wi...anomaly detection
Venkat Rvenkatr.hashnode.dev·Jul 18, 2024AI in Social Media: Identifying and Preventing Scams on Platforms like Facebook and InstagramSocial media platforms such as Facebook and Instagram have woven themselves into the fabric of our daily routines, connecting billions across the globe. However, this widespread use has also made them prime targets for various scams, threatening user...AI
Oluwatomisin Bamideletomisinbamidele.hashnode.dev·Jul 5, 2024A Guide to Geospatial Analysis and Outlier Detection in Election ResultsWhat is Geospatial Analysis? Geospatial analysis is a method used to study data that has a geographic or spatial component. It involves analyzing information based on where things are located and how they relate to each other in space. This type of a...data analysis
Suraj Karkisavvysuraj.hashnode.dev·Jun 28, 2024Anomaly Detection Using Linear ModelBefore I start, let's have some motivation: "Cry. Forgive. Learn. Move on. Let your tears water the seeds of your future happiness." Steve Maraboli This is the third lesson of the Anomaly Detection lecture series. In this lesson, we will see how ...Anomaly DetectionMachine Learning
Prakhar Kumarprakhartechinsights.hashnode.dev·Apr 22, 2024Unveiling Anomaly Detection and Outlier Identification in Machine LearningAnomaly detection and outlier identification are pivotal tasks in machine learning, with applications spanning fraud detection, cybersecurity, fault detection, and healthcare monitoring. In this blog article, we'll explore the concepts, techniques, c...AI/ML Blog By PrakharOutlier Identification
Vanshika Kumarvanshikakumar.hashnode.dev·Mar 31, 2024Anomaly detection using Isolation ForestIntroduction: One of the most important tasks in machine learning is anomaly detection, which looks for patterns in data that differ noticeably from the average. An effective algorithm for anomaly detection is called Isolation Forest. Finding data po...30 readsisolation forest