Machine Learning Pitfalls: A Brief Guide on How to Avoid Common Pitfalls (With Code Samples) (Arificial Intelligence Book 5)

The "Avoiding Pitfalls in Machine Learning" book is a must-read for anyone interested in building trustworthy models.

With expert insights from CEO and founder of AISOMA, Murat Durmus, this comprehensive guide covers everything you need to know to avoid common pitfalls in machine learning.

From data collection and preparation to model selection and evaluation, feature selection and engineering, bias and fairness, and interpretability and explainability, this book provides practical strategies for overcoming these challenges.

With real-world examples and code samples, you'll be able to apply the lessons learned in this book to your own projects and build models that are both accurate and trustworthy.

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