-
Book Overview & Buying
-
Table Of Contents
-
Feedback & Rating
The Chief AI Officer's Handbook
By :
In this chapter, we navigated the intricate landscape of training AI models, from selecting high-quality data to the art of feature engineering and the iterative model refinement process. You learned that training an AI model is both a science and an art, requiring technical expertise and creative problem-solving. We explored how to evaluate model performance, the importance of continuous learning, and the potential for AI to uncover unexpected insights. Remember – the journey doesn’t end with a trained model; it’s an ongoing process of improvement and adaptation.
As you reflect on these concepts, consider how you might apply them to your projects or challenges. Whether you’re fine-tuning a recommendation system or developing a predictive maintenance model, the principles we’ve discussed form the foundation of effective AI development. Our next chapter will build on this knowledge as we explore the crucial step of deploying AI solutions...
Change the font size
Change margin width
Change background colour