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Machine Learning Using R: With Time Series and Industry-Based Use Cases in R
Machine Learning Using R: With Time Series and Industry-Based Use Cases in R

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python...

Practical Machine Learning with Python: A Problem-Solver's Guide to Building Real-World Intelligent Systems
Practical Machine Learning with Python: A Problem-Solver's Guide to Building Real-World Intelligent Systems

Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner....

Nonlinear Partial Differential Equations with Applications (International Series of Numerical Mathematics)
Nonlinear Partial Differential Equations with Applications (International Series of Numerical Mathematics)

This book primarily concerns quasilinear and semilinear elliptic and parabolic partial differential equations, inequalities, and systems. The exposition leads the reader through the general theory based on abstract (pseudo-) monotone or accretive operators as fast as possible towards the analysis of concrete differential equations, which have...

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...

Designing Machine Learning Systems with Python
Designing Machine Learning Systems with Python

Design efficient machine learning systems that give you more accurate results

About This Book

  • Gain an understanding of the machine learning design process
  • Optimize machine learning systems for improved accuracy
  • Understand common programming tools and techniques for machine...
Computer-Aided Control Systems Design: Practical Applications Using MATLAB® and Simulink®
Computer-Aided Control Systems Design: Practical Applications Using MATLAB® and Simulink®

Computer-Aided Control Systems Design: Practical Applications Using MATLAB® and Simulink® supplies a solid foundation in applied control to help you bridge the gap between control theory and its real-world applications. Working from basic principles, the book delves into control systems...

Python Machine Learning Cookbook
Python Machine Learning Cookbook

100 recipes that teach you how to perform various machine learning tasks in the real world

About This Book

  • Understand which algorithms to use in a given context with the help of this exciting recipe-based guide
  • Learn about perceptrons and see how they are used to build neural...
Error Correction Coding: Mathematical Methods and Algorithms
Error Correction Coding: Mathematical Methods and Algorithms
An unparalleled learning tool and guide to error correction coding

Error correction coding techniques allow the detection and correction of errors occurring during the transmission of data in digital communication systems. These techniques are nearly universally employed in modern communication systems, and are thus an important component of...

Beginning Database Design (Wrox Beginning Guides)
Beginning Database Design (Wrox Beginning Guides)
Database design involves how to best structure the tables and queries that are used with databases in order to provide optimum performance, storage, manageability, and flexibility. With relational databases, you can use those tables to organize your data and retrieve information from your database. This book provides you with an easy-to-understand...
Deep Learning: Practical Neural Networks with Java
Deep Learning: Practical Neural Networks with Java

Build and run intelligent applications by leveraging key Java machine learning libraries

About This Book

  • Develop a sound strategy to solve predictive modelling problems using the most popular machine learning Java libraries.
  • Explore a broad variety of data processing, machine learning,...
Quantum Monte Carlo: Origins, Development, Applications
Quantum Monte Carlo: Origins, Development, Applications
Monte Carlo methods are a class of computational algorithms for simulating the behavior of a wide range of various physical and mathematical systems (with many variables). Their utility has increased with general availability of fast computers, and new applications are continually forthcoming. The basic concepts of Monte Carlo are both simple and...
Beginning C# Object-Oriented Programming
Beginning C# Object-Oriented Programming
It has been my experience as a .NET trainer and lead programmer that most people do not have trouble picking up the syntax of the C# language. What perplexes and frustrates many people are the higher-level concepts of object-oriented programming methodology and design. To compound the problem, most introductory programming books and...
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