Data analysis is changing fast. Driven by a vast range of application domains and affordable tools, machine learning has become …
Robust statistics is the study of designing estimators that perform well even when the dataset significantly deviates from the idealized …
This textbook introduces linear algebra and optimization in the context of machine learning. Examples and exercises are provided throughout this …
This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on …
Machine Learning and Models for Optimization in Cloud’s main aim is to meet the user requirement with high quality of …
Machine learning and optimization techniques are revolutionizing our world. Other types of information technology have not progressed as rapidly in …
Owing to continuous advances in the computational power of handheld devices like smartphones and tablet computers, it has become possible …
This book focuses on new and emerging data mining solutions that offer a greater level of transparency than existing solutions. …
This book presents written versions of the eight lectures given during the AMS Short Course held at the Joint Mathematics …
Now in its second edition of this book, D.S. Malik brings his proven approach to C++ programming to the CS2 …
Multifaceted in its approach, this text provides a conceptual framework for thinking about, implementing and using data structures, offers a …
Quantum computers are poised to kick-start a new computing revolution—and you can join in right away. If you’re in software …
Algorithms, Big O notation and the production of pseudocode are aspects of A level study that students often struggle with. …
Data Structures in Java is a continuation of Nell Dale's best-selling Introduction to Java and Software Design text. Data Structures …
Although traditional texts present isolated algorithms and data structures, they do not provide a unifying structure and offer little guidance …
This book lays the foundation for programmers to build their skills. The focus is placed on how to implement effective …
AnnotationDesigned for a CS2 data structures course, this text provides a thorough but concise overview of data structures as well …
This accessible and engaging textbook/guide provides a concise introduction to data structures and associated algorithms. Emphasis is placed on the …
Written in an engaging and informal style, Data Structures Using Java facilitates a student's transition from simple programs in the …
With an accessible writing style and manageable amount of content, Data Structures and Algorithms Using Java is the ideal text …
There are many books on data structures and algorithms, including some with useful libraries of C functions. Mastering Algorithms with …
This book offers robust solutions for everyday programming tasks, providing all the necessary information to understand and use common programming …
Solve complex problems by performing analysis of algorithms or selecting suitable techniques for optimal performanceKey Features● Get familiar with various …
Data structures are essential principles applicable to any programming language in computer science. Data structures may be studied more easily …
Understand how implementing different data structures and algorithms intelligently can make your Python code and applications more maintainable and efficientKey …
Algorithms, Data Structures, and Problem Solving with C++ is the first CS2 textbook that clearly separates the interface and implementation …
Offered as an introduction to the field of data structures andalgorithms, Open Data Structures covers the implementation andanalysis of data …
Graphs are among the most important abstract data types in computer science, and the algorithms that operate on them are …
This original text provides comprehensive coverage of parallel algorithms and architectures, beginning with fundamental concepts and continuing through architectural variations …
Written by an authority in the field, this book provides an introduction to the design and analysis of parallel algorithms. …
