Assessing and Improving Prediction and Classification： Theory and Algorithms in C++（Timothy Masters）（Apress 2017）
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    Assessing and Improving Prediction and Classification： Theory and Algorithms in C++（Timothy Masters）（Apress 2017）

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书名：Assessing and Improving Prediction and Classification: Theory and Algorithms in C++
出版社：Apress
作者：Timothy Masters
出版年份：2017
电子书格式： epub
简介：Master prediction and classification techniques with Timothy Masters’s “Assessing and Improving Prediction and Classification: Theory and Algorithms in C++.” This comprehensive guide delves into the theoretical foundations and practical applications of these crucial machine learning methods, providing C++ implementations for hands-on learning. Explore algorithms, assess model performance, and enhance prediction accuracy. Ideal for data scientists, machine learning engineers, and anyone seeking to build robust predictive models using C++. Learn to implement advanced algorithms, optimize model parameters, and improve your classification accuracy. Download now and elevate your machine learning skills!
ISBN：9781484233351, 14842

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