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Introduction to Probability Models
Introduction to Probability Models

Introduction to Probability Models, Twelfth Edition, is the latest version of Sheldon Ross's classic bestseller. This trusted book introduces the reader to elementary probability modelling and stochastic processes and shows how probability theory can be applied in fields such as engineering, computer science, management...

Machine Learning Paradigms: Advances in Data Analytics (Intelligent Systems Reference Library, 149)
Machine Learning Paradigms: Advances in Data Analytics (Intelligent Systems Reference Library, 149)

This book explores some of the emerging scientific and technological areas in which the need for data analytics arises and is likely to play a significant role in the years to come. At the dawn of the 4th Industrial Revolution, data analytics is emerging as a force that drives towards dramatic changes in our daily lives, the...

Transactions on Engineering Technologies: World Congress on Engineering and Computer Science 2017
Transactions on Engineering Technologies: World Congress on Engineering and Computer Science 2017

This volume contains a selection of revised and extended research articles written by prominent researchers participating in a large international conference on Advances in Engineering Technologies and Physical Science which was held in San Francisco, California, USA, October 25-27, 2017. 

Topics covered include...

Databases DeMYSTiFieD, 2nd Edition
Databases DeMYSTiFieD, 2nd Edition

Learning DATABASE fundamentals just got a whole lot EASIER!

Now you can design, build, and manage a fully functional database with ease. Thoroughly updated to cover the latest technologies and techniques, Databases Demystified, Second Edition gives you the hands-on help you need to get started.

Written in a...

R Deep Learning Essentials
R Deep Learning Essentials

Key Features

  • 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...
Database Modeling and Design: Logical Design, 4th Edition (Data Management Systems)
Database Modeling and Design: Logical Design, 4th Edition (Data Management Systems)
Database systems and database design technology have undergone significant evolution in recent years. The relational data model and relational database systems dominate business applications; in turn, they are extended by other technologies like data warehousing, OLAP, and data mining. How do you model and design your database application in...
Quantum Gravitation: The Feynman Path Integral Approach
Quantum Gravitation: The Feynman Path Integral Approach
The book covers the theory of Quantum Gravitation from the point of view of Feynman path integrals. These provide a manifestly covariant approach in which fundamental quantum aspects of the theory such as radiative corrections and the renormalization group can be systematically and consistently addressed. The path integral method is suitable for...
Foundations of Quantum Theory (International School of Physics  enrico Fermi )
Foundations of Quantum Theory (International School of Physics enrico Fermi )
This volume provides a summary of the lectures presented at the International School of Physics "Enrico Fermi" on the Foundations of Quantum Theory, organized by the Italian Physical Society in Varenna, Italy from 8-13 July 2016, in collaboration with the Wilhelm und Else Heraeus-Stiftung. It was the first "Enrico Fermi"...
Crowds in Equations: An Introduction to the Microscopic Modeling of Crowds (Advanced Textbooks in Mathematics)
Crowds in Equations: An Introduction to the Microscopic Modeling of Crowds (Advanced Textbooks in Mathematics)

The book contains self-contained descriptions of existing models, accompanied by critical analyses of their properties both from a theoretical and practical standpoint. It aims to develop 'modeling skills' within the readers, giving them the ability to develop their own models and improve existing ones. Written in connection...

Learning BeagleBone Python Programming
Learning BeagleBone Python Programming

Unleash the potential of BeagleBone using Python

About This Book

  • Configure and customize your BeagleBone to seamlessly connect it to external hardware using Python
  • Learn to write programs that interface with the real world using GPIO ports
  • Clear and step-by-step examples,...
Fundamentals of Probability: With Stochastic Processes
Fundamentals of Probability: With Stochastic Processes

"The 4th edition of Ghahramani's book is replete with intriguing historical notes, insightful comments, and well-selected examples/exercises that, together, capture much of the essence of probability. Along with its Companion Website, the book is suitable as a primary resource for a first course in probability. Moreover, it...

Introduction to Python for Science and Engineering (Series in Computational Physics)
Introduction to Python for Science and Engineering (Series in Computational Physics)

Series in Computational Physics
Steven A. Gottlieb and Rubin H. Landau, Series Editors

Introduction to Python for Science and Engineering

This guide offers a quick and incisive introduction to Python programming for anyone. The author has carefully developed a concise...

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