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 ...Discuss·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...Discussanomaly 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...DiscussAI
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...Discussdata 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 ...DiscussAnomaly 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...DiscussAI/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...Discussisolation forest
Nitin Saprunitinsapru.hashnode.dev·Feb 23, 2024Unveiling the Power of ML .NET: Spike Detection in Product Cost Time Series DataIn the fast-paced world of business, staying ahead of the curve requires timely and insightful decision-making. One crucial aspect of this decision-making process is the ability to detect anomalies or spikes in data, especially when it comes to produ...Discuss·1 like·190 readsMachine Learning
Sumit Mondalsumit007.hashnode.dev·Feb 22, 2024Unleashing the Power of Amazon Lookout for Metrics in AWS: A Step-by-Step GuideIntroduction: In the ever-evolving landscape of cloud computing, AWS (Amazon Web Services) continues to empower businesses with cutting-edge tools and services. One such tool that stands out for its simplicity and effectiveness is Amazon Lookout for ...DiscussAWS - HandsOn2Articles1Week
Suraj Karkisavvysuraj.hashnode.dev·Feb 17, 2024Anomaly Detection Using Probabilistic and Dimension-Based ModelsBefore I start, let's have some motivation: "Great things happen to those who don't stop believing, trying, learning, and being grateful." Roy T. Bennett This is the second lesson of the Anomaly Detection lecture series. In this lesson, you going...Discuss·1 likeAnomaly DetectionPythonMathematics
