Building an AI model is a fascinating journey that combines data science, machine learning, & often a touch of creativity to solve real-world problems. In recent years, AI has transformed industries by enabling tasks such as image recognition, natural language processing, and predictive analytics. However, creating a functional and efficient AI model involves more than just coding — it requires a thoughtful approach to data preparation, model selection, training, and validation.
In this blog, Optimity Logics will walk through the essential steps to build a successful AI model, from defining the problem & gathering data to training, evaluating, and deploying the final model.
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