توضیحات
Active Machine Learning with Python: Refine and Elevate Data Quality provides a practical guide for data scientists and Python developers looking to leverage active learning techniques. The book covers strategies for selecting the most informative data points, handling noisy or incomplete datasets, and iteratively improving machine learning models. Through hands-on examples and Python implementations, readers learn how to optimize model accuracy, reduce labeling costs, and make data-driven decisions. Ideal for practitioners aiming to enhance AI systems with high-quality data.
نقد و بررسیها
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