{"product_id":"assessing-and-improving-prediction-and-classification-theory-and-algorithms-in-c-9781484233351","title":"Assessing and Improving Prediction and Classification: Theory and Algorithms in C++","description":"\u003cp\u003e • Author(s): Timothy Masters\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Apress\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003eCarry out practical, real-life assessments of the performance of prediction and classification models written in C++. This book discusses techniques for improving the performance of such models by intelligent resampling of training\/testing data, combining multiple models into sophisticated committees, and making use of exogenous information to dynamically choose modeling methodologies. Rigorous statistical techniques for computing confidence in predictions and decisions receive extensive treatment. \u003cbr\u003eFinally, the last part of the book is devoted to the use of information theory in evaluating and selecting useful predictors. Special attention is paid to Schreiber's Information Transfer, a recent generalization of Grainger Causality. Well commented C++ code is given for every algorithm and technique. \u003cbr\u003eYou will: \u003cbr\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eDiscover the hidden pitfalls that lurk in the model development process\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eWork with some of the most powerful model enhancement algorithms that have emerged recently\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eEffectively use and incorporate the C++ code in your own data analysis projects\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eCombine classification models to enhance your projects\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45277494902935,"sku":"9781484233351","price":5458.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781484233351.webp?v=1769288540","url":"https:\/\/atlanticbooks.com\/products\/assessing-and-improving-prediction-and-classification-theory-and-algorithms-in-c-9781484233351","provider":"Atlantic Books","version":"1.0","type":"link"}