From the course: CompTIA SecAI+ (CY0-001) Cert Prep

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Model development and selection

Model development and selection

From the course: CompTIA SecAI+ (CY0-001) Cert Prep

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Model development and selection

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Model development begins with choosing the algorithm or architecture that will best meet the project objectives. The selected model is then trained on clean, verified data to learn patterns and relationships that guide its decisions. During this process, security is essential. The training environment must be tightly controlled using firewalls, encryption, and strong access restrictions to prevent unauthorized interference. Even small lapses in protection can expose data or compromise the model's integrity. Choosing the right model goes beyond achieving high accuracy. Simpler models, such as decision trees or linear regression, are easier to interpret and audit, which makes them useful in areas like credit scoring or healthcare diagnostics. Complex models, such as deep neural networks, can process can process massive amounts of data and recognize subtle patterns. But they are also more vulnerable to manipulation. Attackers can exploit these models using adversarial inputs. Developers…

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