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Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch
Deep Learning with PyTorch: A practical approach to building neural network models using PyTorch

Build neural network models in text, vision and advanced analytics using PyTorch

Key Features

  • Learn PyTorch for implementing cutting-edge deep learning algorithms.
  • Train your neural networks for higher speed and flexibility and learn how to implement them in various...
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"--...
Probability and Statistics for Computer Scientists
Probability and Statistics for Computer Scientists

Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling Tools
Incorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students understand general methods of stochastic
...

Python Data Analysis
Python Data Analysis

Key Features

  • Find, manipulate, and analyze your data using the Python 3.5 libraries
  • Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code
  • An easy-to-follow guide with realistic examples that are frequently used in real-world data...
Bayesian Data Analysis, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
Bayesian Data Analysis, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
This book is intended to have three roles and to serve three associated audiences: an introductory text on Bayesian inference star ting from first principles, a graduate text on effective current approaches to Bayesian modeling and computation in statistics and related fields, and a handbook of Bayesian meth ods in applied...
AutoCAD 2021 From Zero to Hero (AutoCAD From Zero to Hero)
AutoCAD 2021 From Zero to Hero (AutoCAD From Zero to Hero)

The objective of this book is to provide you with extensive knowledge of AutoCAD, whether you are taking an instructor-led course or learning on your own. AutoCAD 2021 From Zero to Hero is an ideal reference guide, unlike tutorial-oriented books where specific information is hard to found. This...

Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning
Applied Text Analysis with Python: Enabling Language-Aware Data Products with Machine Learning

From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural...

Bayesian Analysis of Stochastic Process Models (Wiley Series in Probability and Statistics)
Bayesian Analysis of Stochastic Process Models (Wiley Series in Probability and Statistics)

Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment of Bayesian analysis of models based on stochastic processes, covering the main classes of stochastic processing including modeling, computational, inference, forecasting, decision making and...

Google SketchUp Cookbook: Practical Recipes and Essential Techniques
Google SketchUp Cookbook: Practical Recipes and Essential Techniques
As the first book for intermediate and advanced users of Google SketchUp, this Cookbook goes beyond the basics to explore the complex features and tools that design professionals use. You'll get numerous step-by-step tutorials for solving common (and not so common) design problems, with detailed color graphics to guide your way, and discussions...
Modeling and Simulation of Systems Using MATLAB and Simulink
Modeling and Simulation of Systems Using MATLAB and Simulink

Not only do modeling and simulation help provide a better understanding of how real-world systems function, they also enable us to predict system behavior before a system is actually built and analyze systems accurately under varying operating conditions. Modeling and Simulation of Systems Using MATLAB® and...

Object Thinking
Object Thinking

In Object Thinking, esteemed object technologist David West contends that the mindset makes the programmer—not the tools and techniques. Delving into the history, philosophy, and even politics of object-oriented programming. West reveals how the best programmers rely on analysis and conceptualization—on...

Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB
Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB
Learn how to solve complex differential equations using MATLAB®

Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB® teaches readers how to numerically solve both ordinary and partial differential equations with ease. This innovative publication brings together a skillful treatment of MATLAB...

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