This book uncovers the stakes and possibilities of handling pandemic diseases with the help of Computational Intelligence, using cases and …
Machine learning, the art of creating applications that learn from experience and data, has been around for many years. However, …
Research Methods for Business and Social Science Students aims to present a clear discussion of the research methods employed in …
This timely book provides the reader with clear pointers for how to conduct organizational research appropriately, through planning and making …
Manage and Automate Data Analysis with Pandas in PythonToday, analysts must manage data characterized by extraordinary variety, velocity, and volume. …
R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions in …
This book will teach you to use Python and the Python Data Analysis Library (pandas) to solve real-world financial problems. …
This market leading text offers proven, comprehensive, applications-oriented approach. Written by authors who are highly regarded in the field, the …
There is increasing pressure to protect computer networks against unauthorized intrusion, and some work in this area is concerned with …
R is a versatile cross-platform environment with the power of a programming language and the flexibility of a scripting language. …
Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data …
R is the world's most popular programming language for data analysis and statistical modeling. The Book of R provides an …
This book presents conjectural advances in big data analysis, machine learning and computational intelligence, as well as their potential applications …
Data Analysis and Visualization in Genomics and Proteomics is the first book addressing integrative data analysis and visualization in this …
Topology-based methods are of increasing importance in the analysis and visualization of datasets from a wide variety of scientific domains …
Key FeaturesGet to know seven algorithms for your data science needs in this concise, insightful guideEnsure you’re confident in the …
This unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research …