Kontakt
Kako kupovati
Dostava
Savjetnik za kupnju
Assessing and Improving Prediction and Classification
Engleski
195 b
Do 30 dana za povrat
Kupci su kupili i
/
Meki uvez
27.80
€
/
Mapa
10.91
€
Carry 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. Finally, 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. What You'll Learn Discover the hidden pitfalls that lurk in the model development process Work with some of the most powerful model enhancement algorithms that have emerged recently Effectively use and incorporate the C++ code in your own data analysis projects Combine classification models to enhance your projects Who This Book Is For Those with at least prior experience with statistics and C++ code.
Informacije o knjizi
Engleski
Poklonite ovu knjigu još danas
To je jednostavno
1 Dodajte knjigu u košaricu i odaberite isporuku kao poklon 2 Zauzvrat ćemo vam poslati kupon 3 Knjiga dolazi na adresu poklonoprimcaMoglo bi vas zanimati i
/
Meki uvez
46.30
€
/
Meki uvez
28.30
€
/
Meki uvez
7.67
€
/
Meki uvez
8.58
€
/
Meki uvez
10.30
€
/
Tvrdi uvez
36.39
€
Dobar dan! Ja sam Libroamiko, vaš književni savjetnik.
Kako vam mogu pomoći?