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 …
Summary R in Action, Second Edition presents both the R language and the examples that make it so useful for …
R in Action, Second Edition presents both the R language and the examples that make it so useful for business …
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 …
Presenting a straightforward introduction from the ground up, SAS® Essentials: Mastering SAS for Data Analytics, Second Edition illustrates SAS using …
R is an Open Source implementation of the well-known S language. It works on multiple computing platforms and can be …
R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely …
Designed with beginners in mind, this workshop helps you make the most of Python libraries and the Jupyter Notebook's functionality …
Key Features Learn to use the power of Pandas to solve most complex scientific computing problems Leverage fast, robust data …
Practical recipes for scientific computing, time series, and exploratory data analysis using Python. 4 customer reviews. Instant delivery. Top rated …
Hone your SAS skills with Exercises and Projects for The Little SAS Book, Sixth Edition! Now in its sixth edition, …
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