This book introduces you to the world of data science. It
reveals the proper way to do data science. It covers essential
statistical and programming techniques to help you understand
data science from a broad perspective. Not only that, but it
provides a theoretical, technical, and mathematical foundation for
problem-solving...
Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by...
Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate....
The book is intended to be an “industrial strength” introduction to digital image processing to be used as a text for an electrical engineering or computer science course in the subject. Also, it can be used as a reference manual for scientists who are engaged in image processing research, developers of image processing...
This book is intended to have three roles and to serve three associated audiences: an
introductory text on Bayesian inference star ting from first principles, a graduate text on
effective current approaches to Bayesian modeling and computation in statistics and
related fields, and a handbook of Bayesian meth ods in applied...
Mathematics is beautiful--and it can be fun and exciting as well as practical. Good Math is your guide to some of the most intriguing topics from two thousand years of mathematics: from Egyptian fractions to Turing machines; from the real meaning of numbers to proof trees, group symmetry, and mechanical computation. If you've ever...
This book provides computer exercises for an undergraduate course on signals and linear
systems. Such a course or sequence of courses forms an important part of most engineering
curricula. This book was primarily designed as a companion to the second edition of Signals
and Systems by Oppenheim and Willsky with Nawab. While the...
This text is an introduction to Simulink ®, a companion application to MATLAB ®. It is written for students at the undergraduate and graduate programs, as well as for the working professional. Although some previous knowledge of MATLAB would be helpful, it is not absolutely necessary; Appendix A of this text is an...
Computer Systems Performance Evaluation and Prediction bridges the gap from academic to professional analysis of computer performance.
This book makes analytic, simulation and instrumentation-based modeling and performance evaluation of computer systems components understandable to a wide audience of computer systems,...
