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Bayesian Biostatistics and Diagnostic Medicine
Bayesian Biostatistics and Diagnostic Medicine
Bayesian methods are being used more often than ever before in biology and medicine. For example, at the University of Texas MD Anderson Cancer Center, Bayesian sequential stopping rules routinely are used for the design of clinical trials. This book is based on the author’s experience working with a variety of...
Statistical Methods, Second Edition
Statistical Methods, Second Edition

This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and covers the principles of good data collection....

Nonlinear Regression with R (Use R!)
Nonlinear Regression with R (Use R!)
This book is about nonlinear regression analysis with R, in particular, how to use the function nls() and related functions and methods.

Range of the book

Nonlinear regression may be a confined and narrow topic within statistics. However, the use of nonlinear regression is seen in many applied
...
An Introduction to Regression Graphics (Wiley Series in Probability and Statistics)
An Introduction to Regression Graphics (Wiley Series in Probability and Statistics)

Covers the use of dynamic and interactive computer graphics in linear regression analysis, focusing on analytical graphics. Features new techniques like plot rotation. The authors have composed their own regression code, using Xlisp-Stat language called R-code, which is a nearly complete system for linear regression analysis and can be...

Artificial Intelligence for Big Data: Complete guide to automating Big Data solutions using Artificial Intelligence techniques
Artificial Intelligence for Big Data: Complete guide to automating Big Data solutions using Artificial Intelligence techniques

Build next-generation artificial intelligence systems with Java

Key Features

  • Implement AI techniques to build smart applications using Deeplearning4j
  • Perform big data analytics to derive quality insights using Spark MLlib
  • Create self-learning systems using...
Automated Web Testing Toolkit: Expert Methods for Testing and Managing Web Applications
Automated Web Testing Toolkit: Expert Methods for Testing and Managing Web Applications

All the tools, templates, and techniques you need to execute a testing plan on different platforms and servers

Automated Web Testing Toolkit

Due to deadline constraints and rapidly evolving technologies, Web testing is often an overlooked aspect of development. Companies risk losing hundreds of...

Deep Learning Quick Reference: Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras
Deep Learning Quick Reference: Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras

Dive deeper into neural networks and get your models trained, optimized with this quick reference guide

Key Features

  • A quick reference to all important deep learning concepts and their implementations
  • Essential tips, tricks, and hacks to train a variety of deep learning...
Mastering .NET Machine Learning
Mastering .NET Machine Learning

About This Book

  • Based on .NET framework 4.6.1, includes examples on ASP.NET Core 1.0
  • Set up your business application to start using machine learning techniques
  • Familiarize the user with some of the more common .NET libraries for machine learning
  • Implement...
Interpreting and Visualizing Regression Models Using Stata
Interpreting and Visualizing Regression Models Using Stata

Interpreting and Visualizing Regression Models Using Stata, Second Edition provides clear and simple examples illustrating how to interpret and visualize a wide variety of regression models. Including over 200 figures, the book illustrates linear models with continuous predictors (modeled linearly, using polynomials,...

Advanced Data Mining Techniques
Advanced Data Mining Techniques
This book covers the fundamental concepts of data mining, to demonstrate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding. The book is organized in three parts. Part I introduces concepts. Part II describes and demonstrates basic data mining algorithms. It also contains chapters on a...
IBM Cognos 8 Report Studio Cookbook
IBM Cognos 8 Report Studio Cookbook

Cognos Report Studio is widely used for creating and managing business reports in medium to large companies. It is simple enough for any business analyst, power user, or developer to pick up and start developing basic reports. However, when it comes to developing more sophisticated, fully functional business reports for wider audiences,...

Python for Finance: Analyze Big Financial Data
Python for Finance: Analyze Big Financial Data

The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects...

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