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An algorithm trained on data to recognize patterns and make predictions or decisions without being explicitly programmed.
The process of inspecting, cleaning, and modeling data to discover useful information, draw conclusions, and support decision-making.
Algorithm Optimization involves improving the efficiency and performance of an algorithm to reduce its computational complexity and resource usage.
Round-the-clock support ensures that assistance is available 24/7 to address any development issues immediately, minimizing downtime and enhancing productivity.
Detailed code reviews ensure that code is thoroughly examined for performance optimizations, best practices, and potential issues before deployment.
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