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What is Neural network (machine learning)?

A neural network (machine learning) is a computational model inspired by the structure of the human brain, consisting of layers of interconnected neurons. It is widely used in AI applications such as image recognition, natural language processing, and autonomous systems to detect patterns and make predictions.

Data analysis for fraud detection
Data analysis for fraud detection is the application of analytical techniques, including machine learning and statistical modeling, to identify fraudulent activities in financial transactions, insurance claims, and cybersecurity. It detects anomalies, suspicious behavior, and risk patterns to prevent fraud and minimize financial losses.
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.
Source data
Source data refers to the original, unaltered information collected from primary sources before any processing or analysis. It serves as the foundation for data-driven decision-making in research, AI training, and analytics.

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