Machine Learning in Cardiology: A Practical R-Based Approach by Matthew W. Segar
31,31 €
Written by cardiologist and data scientist Dr. Matthew Segar, this hands-on guide takes you step by step through essential R-based workflows-from data wrangling and visualization to advanced modeling techniques and real-world clinical applications.You'll learn how to harness supervised and unsupervised learning, master feature engineering for complex cardiac data, and build powerful predictive tools for risk stratification.
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