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Seismic Wave Theory
Seismic Wave Theory
Perfect for senior undergraduates and first-year graduate students in geophysics, physics, mathematics, geology and engineering, this book is devoted exclusively to seismic wave theory. The result is an invaluable teaching tool, with its detailed derivations of formulas, clear explanations of topics, exercises along with selected answers, and an...
Connecting Arduino to the Web: Front End Development Using JavaScript
Connecting Arduino to the Web: Front End Development Using JavaScript
Create physical interfaces that interact with the Internet and web pages. With Arduino and JavaScript you can create interactive physical displays and connected devices that send data to or receive data from the web. You'll take advantage of the processes needed to set up electronic components, collect data, and create web pages able to...
Digital Signal Processing with Examples in MATLAB® (Electrical Engineering & Applied Signal Processing Series)
Digital Signal Processing with Examples in MATLAB® (Electrical Engineering & Applied Signal Processing Series)

Based on fundamental principles from mathematics, linear systems, and signal analysis, digital signal processing (DSP) algorithms are useful for extracting information from signals collected all around us. Combined with today’s powerful computing capabilities, they can be used in a wide range of application areas, including...

Learning scikit-learn: Machine Learning in Python
Learning scikit-learn: Machine Learning in Python

Incorporating machine learning in your applications is becoming essential. As a programmer this book is the ideal introduction to scikit-learn for your Python environment, taking your skills to a whole new level.

Overview

  • Use Python and scikit-learn to create intelligent applications
  • Apply...
Clojure for Machine Learning
Clojure for Machine Learning

In this compelling introduction to machine learning techniques and algorithms, you’ll learn how to use your knowledge of Clojure. From building systems to using machine learning techniques in cloud architecture, it’s the complete guide.

Overview

  • Covers a lot of machine learning techniques with...
Linear Algebra: A Geometric Approach
Linear Algebra: A Geometric Approach
One of the most enticing aspects of mathematics, we have found, is the interplay of ideas from seemingly disparate disciplines of the subject. Linear algebra provides a beautiful illustration of this, in that it is by nature both algebraic and geometric. ...
Scala for Machine Learning
Scala for Machine Learning

Leverage Scala and Machine Learning to construct and study systems that can learn from data

About This Book

  • Explore a broad variety of data processing, machine learning, and genetic algorithms through diagrams, mathematical formulation, and source code
  • Leverage your expertise in Scala...
Combinatorial Methods with Computer Applications (Discrete Mathematics and Its Applications)
Combinatorial Methods with Computer Applications (Discrete Mathematics and Its Applications)

Combinatorial Methods with Computer Applications provides in-depth coverage of recurrences, generating functions, partitions, and permutations, along with some of the most interesting graph and network topics, design constructions, and finite geometries. Requiring only a foundation in discrete mathematics, it can serve as the...

C++ Coding Standards : 101 Rules, Guidelines, and Best Practices (C++ in Depth Series)
C++ Coding Standards : 101 Rules, Guidelines, and Best Practices (C++ in Depth Series)

Consistent, high-quality coding standards improve software quality, reduce time-to-market, promote teamwork, eliminate time wasted on inconsequential matters, and simplify maintenance. Now, two of the world's most respected C++ experts distill the rich collective experience of the global C++ community into a set of coding...

Data Structures and Problem Solving Using C++ (2nd Edition)
Data Structures and Problem Solving Using C++ (2nd Edition)

Data Structures and Problem Solving Using C++ provides a practical introduction to data structures and algorithms from the viewpoint of abstract thinking and problem solving, as well as the use of C++. It is a complete revision of Weissi successful CS2 book Algorithms, Data Structures, and Problem Solving with C++.

The most unique...

Applied Deep Learning with Python: Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions
Applied Deep Learning with Python: Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions

A hands-on guide to deep learning that's filled with intuitive explanations and engaging practical examples

Key Features

  • Designed to iteratively develop the skills of Python users who don't have a data science background
  • Covers the key foundational concepts...
Building an Optimizing Compiler
Building an Optimizing Compiler

This book describes one design for the optimization and code-generation phases of such a compiler. Many compiler books are available for describing the analysis of programming languages. They emphasize the processes of lexical analysis, parsing, and semantic analysis. Several books are also available for describing compilation processes for...

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