• Analyze Big Data sets, create attractive visualizations, and manipulate and process various data types
• Packed with rich recipes to help you learn and explore amazing algorithms for statistics and machine learning
• Authored by Ivan Idris, expert in python programming and proud...

 The first edition of this book was the first comprehensive text written solely on principal component analysis. The second edition updates and substantially expands the original version, and is once again the definitive text on the subject. It includes core material, current research and a wide range of applications. Its length is...

• Solve your data analytics problems with the Elastic Stack
• Improve your user search experience with Elasticsearch and develop your own Elasticsearch plugins
• Design your index, configure it, and distribute it ― you'll...

• Harness the ability to build algorithms for unsupervised data using deep learning concepts with R
• Master the common problems faced such as overfitting of data, anomalous datasets, image recognition, and performance tuning while building the models
• Build models relating to neural...

Written in a clear, accessible, and comprehensive manner, the Handbook of Probability presents the fundamentals of probability with an emphasis on the balance of theory, application, and methodology. Utilizing basic examples throughout, the handbook...

Although numerous statistical methods for analyzing spatial point patterns have been available for several decades, they haven’t been extensively applied in an ecological context. Addressing this gap, Handbook of Spatial...

The first approach localizes thematic targets by treating space as a pattern of vicinities, with the pattern being a square...

Easy-to-follow guidelines from a pro for simplifying your investments, protecting yourself from the investment sharks and achieving financial freedom Drawing on his years as an investor for leading banks in the U.S. and Asia, Philip Cheng delivers down-to-earth strategies guaranteed to make you "shark-proof" while you optimize...

Introduction to Probability and Stochastic Processes with Applications presents a clear, easy-to-understand treatment of probability and stochastic processes, providing readers with a solid foundation they can build upon throughout their...

This small book addresses different kinds of datafiles, as commonly encountered in clinical research, and their data-analysis on SPSS Software. Some 15 years ago serious statistical analyses were conducted by specialist statisticians using ma- frame computers. Nowadays, there is ready access to statistical computing using personal computers...

This volume first introduces the mathematical tools necessary for understanding and working with a broad class of applied stochastic models. The toolbox includes Gaussian processes, independently scattered measures such as Gaussian white noise and Poisson random measures, stochastic integrals, compound Poisson, infinitely divisible and stable...

Combine business sense, statistics, and computers in a new and intuitive way, thanks to Big Data Predictive analytics is a branch of data mining that helps predict probabilities and trends. Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valuable predictions for your business, or in...