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Digital Signal Processing Using MATLAB Version 4: A Bookware Companions Problems Book (A volume in the PWS BookWare Companion Series)

Cengage Learning, 1996

From the beginning of the last decade we have witnessed a revolution in computer technology and an explosion in user-friendly applications.This revolution is still continuing today with low-cost personal computer systems that rival the performance of expensive workstations. This technological prowess should be brought to bear on the...

Propeller Programming: Using Assembler, Spin, and C

Apress, 2018

Learn to program the Propeller in Spin and C and how to map the Propeller Assembler (PASM) language from other high-level languages you might know.

The overall task you will pursue in the book is to implement a Delta Compression algorithm: first in Spin, then in PASM, then in C. Along the way, you'll review...

C++ High Performance: Boost and optimize the performance of your C++17 code

Packt Publishing, 2018

Write code that scales across CPU registers, multi-core, and machine clusters

Key Features

Explore concurrent programming in C++
Identify memory management problems
Use SIMD and STL containers for performance improvement

Book...

Getting Started with Python: Understand key data structures and use Python in object-oriented programming

Packt Publishing, 2019

Harness the power of Python objects and data structures to implement algorithms for analyzing your data and efficiently extracting information

Key Features

Turn your designs into working software by learning the Python syntax

Write robust code with a solid understanding of...

Hands-On Data Structures and Algorithms with Python: Write complex and powerful code using the latest features of Python 3.7, 2nd Edition

Packt Publishing, 2018

Learn to implement complex data structures and algorithms using Python

Key Features

Understand the analysis and design of fundamental Python data structures

Explore advanced Python concepts such as Big O notation and dynamic programming

Learn functional...

Reinforcement Learning: With Open AI, TensorFlow and Keras Using Python

Apress, 2017

Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related. You’ll then work with theories related to reinforcement learning and see the concepts that build up the reinforcement...

Data Science Algorithms in a Week: Top 7 algorithms for scientific computing, data analysis, and machine learning, 2nd Edition

Packt Publishing, 2018

Build a strong foundation of machine learning algorithms in 7 days

Key Features

Use Python and its wide array of machine learning libraries to build predictive models

Learn the basics of the 7 most widely used machine learning algorithms within a week

Know...

Rust High Performance: Learn to skyrocket the performance of your Rust applications

Packt Publishing, 2018

Find bottlenecks, identify the proper algorithm to use, optimize performance, and create really efficient Rust applications

Key Features

Understand common performance pitfalls and improve the performance of your applications.

Get to grips with parallel programming and...

Introduction to Deep Learning Business Applications for Developers: From Conversational Bots in Customer Service to Medical Image Processing

Apress, 2018

Discover the potential applications, challenges, and opportunities of deep learning from a business perspective with technical examples. These applications include image recognition, segmentation and annotation, video processing and annotation, voice recognition, intelligent personal assistants, automated translation, and...

Practical Java Machine Learning: Projects with Google Cloud Platform and Amazon Web Services

Apress, 2018

Build machine learning (ML) solutions for Java development. This book shows you that when designing ML apps, data is the key driver and must be considered throughout all phases of the project life cycle. Practical Java Machine Learning helps you understand the importance of data and how to organize it for use...

Geometric Folding Algorithms: Linkages, Origami, Polyhedra

Cambridge University Press, 2007

How can linkages, pieces of paper, and polyhedra be folded? The authors present hundreds of results and over 60 unsolved 'open problems' in this comprehensive look at the mathematics of folding, with an emphasis on algorithmic or computational aspects. Folding and unfolding problems have been implicit since Albrecht Dürer in the...

Simulation-Based Algorithms for Markov Decision Processes (Communications and Control Engineering)

Springer, 2013

Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences. Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of dimensionality and so making practical...

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