MATLAB Machine Learning Recipes: A Problem-Solution Approach
Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem.
All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach
Probability and Statistics for Computer Scientists
Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling Tools
Incorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students understand general methods of stochastic...
Mathematical Statistics for Economics and Business
Mathematical Statistics for Economics and Business, Second Edition, provides a comprehensive introduction to the principles of mathematical statistics which underpin statistical analyses in the fields of economics, business, and econometrics. The selection of topics in this textbook is designed to provide students with a...
Kalman Filtering: Theory and Practice Using MATLAB
From Reviews of the First Edition
"An authentic magnum opus worth much more than its weight in gold!"
—IEEE Transactions on Automatic Control
The proven textbook on Kalman filtering—now fully updated, revised, and expanded
Depth Map and 3D Imaging Applications: Algorithms and Technologies
This book has three editors, and all of us are involved in image processing and computer vision research.
We have contributed to the 3D imaging research, especially in the field of passive optical 3D shape
recovery methods. Over the last decade, significant progress had been made in 3D imaging research. As
a result, 3D imaging...
Statistical Methods, Second Edition
This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and covers the principles of good data collection.
Statistical Pattern Recognition
Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions. It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining, web searching, multimedia data retrieval,...
|Result Page: 23 22 21 20 19 18 17 16 15 14 |