Supervised and unsupervised algorithms (DBSCAN, Isolation Forest).Machine learning and deep learning concepts.Just like we analyze the numbers, we can now analyze images and identify anomalies. Of these, image anomaly is a new frontier for AI. The three types of anomaly detection – time based, non time based and image.The following will be covered in this program: Surveillance activities across industries.Predictive maintenance in the manufacturing industry.As a practitioner of AI, I always ask my clients to start off with anomaly detection in their AI journey because anomaly detection can be applied even when data availability is limited.Īnomaly detection can be applied in the following areas: In fact, anomaly detection has been the most widely adopted area with in the artificial intelligence – machine learning space in the world of business. Detecting this anomaly point or a set of anomaly points in a process area can be highly beneficial as it can point to potential issues affecting the organization.
#ANOMALY GAME DESIGN HOW TO#
How to analyze images and identify anomalies among them?Īn anomaly is a data point that doesn’t fit or gel with other data points.How to apply unsupervised learning algorithms like DBSCAN and.How to use supervised learning to identify anomalies?.How to analyze time based data for anomalies?.What are the three types of anomaly detection techniques?.What are the areas where anomaly detection can be applied?.
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