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What is No Code Machine Learning?

No Code Machine Learning refers to platforms and tools that allow users to build and deploy AI models without requiring programming knowledge. These tools democratize AI by enabling business users, analysts, and researchers to train models using intuitive interfaces, pre-built algorithms, and automated workflows.

Anomaly Detection
Anomaly detection is the process of identifying patterns in data that deviate significantly from the norm. It leverages machine learning and statistical techniques to detect unusual behavior, making it essential for applications such as fraud detection, cybersecurity, manufacturing quality control, and healthcare analytics. The two primary approaches to anomaly detection are supervised learning (using labeled data) and unsupervised learning (detecting anomalies without predefined labels). AI-powered anomaly detection is particularly effective for processing large-scale, real-time data, ensuring data integrity, security, and operational efficiency.
Statistical data coding
Statistical data coding is the process of assigning numerical or categorical values to qualitative data for analysis. It is commonly used in surveys, machine learning preprocessing, and econometrics to structure data for statistical modeling.
Transfer Learning
Transfer learning refers to a machine learning technique where a pre-trained model is adapted for a different but related task. It accelerates AI model training and improves performance with limited data.