<ul><li>Choosing the right AI model requires understanding the problem and categorizing it into supervised, unsupervised, or reinforcement learning.</li><li>The quality and nature of data play a crucial role in selecting the appropriate model.</li><li>Consider the computational density, training time, and deployment scalability of the chosen model.</li><li>Evaluate the model's performance, optimize hyperparameters, and have a plan for model monitoring and updates.</li></ul>

The definitive guide on how data Science & AI veteran chooses his/her project’s right model.

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