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·99 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
Suraj Karkisavvysuraj.hashnode.dev·Feb 6, 2024Intro to Anomaly DetectionBefore I start, let's have some motivation: "People worry that computers will get too smart and take over the world, but the real problem is that they're too stupid and they've already taken over the world." Pedro Domingos As you know, these days...Discuss·1 like·34 readsAnomaly DetectionMachine Learning
K Ahameddatailm.hashnode.dev·Jan 7, 2024Anomaly Detection beyond OutliersTraditional outlier detection approaches like interquartile range (IQR) or z-scores work well for obvious outliers, but they often miss subtle anomalies hidden within clusters or masked by noise. Explore advanced anomaly detection techniques like Iso...DiscussMachine Learninganomaly detection
Deon SlabbertProbecomingaprogrammer.hashnode.dev·Nov 27, 2023Database Design Gone BadIt is important that you understand the contents of this article. Together with the next article, it forms the knowledge you need to do good database designs. So, please make sure you understand the things discussed here before you proceed. Data Redu...DiscussDatabase Design Fundamentalsdatabase
Ethan Mitchellcybershield.hashnode.dev·Oct 25, 2023Incident Response Best Practices: From Identification to RecoveryIncident response is an essential component of cybersecurity that ensures organizations can effectively identify, mitigate, and recover from security incidents. In an age where cyber threats are constantly evolving and growing in complexity, having a...Discussincident response
Putta Lakshmibitsnbytesofai.hashnode.dev·Apr 24, 2023Mastering Transactional Anomalies: A Hands-On Guide to Spotting and Solving Problems in Your BusinessMotivation: In this guide, you’ll learn how to get started with Anomaly Detection using Python, including: What is Anamoly? What are the challenges of Traditional methods to do Anamoly? Using Isolation Forest for Anamoly Detection. How to explain...Discuss·1 like·104 reads2Articles1Week
