Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
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,...

Atlas of Emergency Medicine 5th Edition
Atlas of Emergency Medicine 5th Edition

The most trusted visual guide to emergency medicine?with 2,100+ full-color images and clinical management guidance from leading experts

Doody's Core Titles for 2021!

The Atlas of Emergency Medicine is your “look quick, act fast” guide to accurately diagnosing acute...

Information-Theoretic Methods in Data Science
Information-Theoretic Methods in Data Science
Learn about the state-of-the-art at the interface between information theory and data science with this first unified treatment of the subject. Written by leading experts in a clear, tutorial style, and using consistent notation and definitions throughout, it shows how information-theoretic methods are being used in data acquisition, data...
Analyzing Data Through Probabilistic Modeling in Statistics
Analyzing Data Through Probabilistic Modeling in Statistics
"This book addresses different aspects of probabilistic modeling, stochastic methods, probabilistic distributions, data analysis, optimization methods, and probabilistic methods in risk analysis"--...
Data Parallel C++: Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL
Data Parallel C++: Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL

Learn how to accelerate C++ programs using data parallelism. This open access book enables C++ programmers to be at the forefront of this exciting and important new development that is helping to push computing to new levels. It is full of practical advice, detailed explanations, and code examples to illustrate key topics. 

...
Computational Methods for Deep Learning: Theoretic, Practice and Applications (Texts in Computer Science)
Computational Methods for Deep Learning: Theoretic, Practice and Applications (Texts in Computer Science)

Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of machine intelligence. It adopts the methodology from graphical theory, mathematical...

An Invitation to Analytic Combinatorics: From One to Several Variables (Texts & Monographs in Symbolic Computation)
An Invitation to Analytic Combinatorics: From One to Several Variables (Texts & Monographs in Symbolic Computation)

This book uses new mathematical tools to examine broad computability and complexity questions in enumerative combinatorics, with applications to other areas of mathematics, theoretical computer science, and physics. A focus on effective algorithms leads to the development of computer algebra software of use...

Recent Econometric Techniques for Macroeconomic and Financial Data (Dynamic Modeling and Econometrics in Economics and Finance, 27)
Recent Econometric Techniques for Macroeconomic and Financial Data (Dynamic Modeling and Econometrics in Economics and Finance, 27)

The book provides a comprehensive overview of the latest econometric methods for studying the dynamics of macroeconomic and financial time series. It examines alternative methodological approaches and concepts, including quantile spectra and co-spectra, and explores topics such as non-linear and non-stationary behavior, stochastic...

Effective Statistical Learning Methods for Actuaries II: Tree-Based Methods and Extensions (Springer Actuarial)
Effective Statistical Learning Methods for Actuaries II: Tree-Based Methods and Extensions (Springer Actuarial)

This book summarizes the state of the art in tree-based methods for insurance: regression trees, random forests and boosting methods. It also exhibits the tools which make it possible to assess the predictive performance of tree-based models. Actuaries need these advanced analytical tools to turn the massive data sets now at their...

A Practical Guide to Azure DevOps: Learn by doing - Third Edition
A Practical Guide to Azure DevOps: Learn by doing - Third Edition

DevOps has become a major topic for developers, testers, project managers and many others involved in building software products. Microsoft has introduced Azure DevOps as their tool for implementing DevOps practices. 

This book is intended to provide the reader a step-by-step, easy to follow guide...

Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python
Learn TensorFlow 2.0: Implement Machine Learning and Deep Learning Models with Python
Learn how to use TensorFlow 2.0 to build machine learning and deep learning models with complete examples. 

The book begins with introducing TensorFlow 2.0 framework and the major changes from its last release. Next, it focuses on building Supervised Machine Learning models using TensorFlow 2.0.
...
Quantum Computing Solutions: Solving Real-World Problems Using Quantum Computing and Algorithms
Quantum Computing Solutions: Solving Real-World Problems Using Quantum Computing and Algorithms
This chapter gives an overview of quantum solutions. You will see how quantum computing can be applied in real life. The problem and solutions are presented with the solution benefits. The solution benefits are automation, cost reduction and profit improvements, efficiency improvement, and defect reduction. The solutions...
unlimited object storage image
Result Page: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Next 
©2021 LearnIT (support@pdfchm.net) - Privacy Policy