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Functional Programming in C++: How to improve your C++ programs using functional techniques
Functional Programming in C++: How to improve your C++ programs using functional techniques
Summary

Functional Programming in C++ teaches developers the practical side of functional programming and the tools that C++ provides to develop software in the functional style. This in-depth guide is full of useful diagrams that help you understand FP concepts and begin to think functionally.

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Python for Finance: Mastering Data-Driven Finance
Python for Finance: Mastering Data-Driven Finance

The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands on book helps you get started with the language, guiding developers and...

Microservices for the Enterprise: Designing, Developing, and Deploying
Microservices for the Enterprise: Designing, Developing, and Deploying
Understand the key challenges and solutions around building microservices in the enterprise application environment. This book provides a comprehensive understanding of microservices architectural principles and how to use microservices in real-world scenarios.

Architectural challenges using microservices with service
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Reinforcement Learning with TensorFlow: A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym
Reinforcement Learning with TensorFlow: A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym

Leverage the power of reinforcement learning techniques to develop self-learning systems using TensorFlow

Key Features

  • Explore reinforcement learning concepts and their implementation using TensorFlow
  • Discover different problem-solving methods for reinforcement...
Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems
Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems

Insightful projects to master deep learning and neural network architectures using Python and Keras

Key Features

  • Explore deep learning across computer vision, natural language processing (NLP), and image processing
  • Discover best practices for the training of deep neural...
GIScience Teaching and Learning Perspectives (Advances in Geographic Information Science)
GIScience Teaching and Learning Perspectives (Advances in Geographic Information Science)
This volume uniquely links educational theories and the practice of GIScience in higher education contexts to guide classroom practice, present effective practical implementations from peers, and provide resources and strategies for effective teaching methods. The book offers a comprehensive exploration of GIScience education, including...
An Introduction to Cyber Modeling and Simulation (Wiley Series in Modeling and Simulation)
An Introduction to Cyber Modeling and Simulation (Wiley Series in Modeling and Simulation)

Introduces readers to the field of cyber modeling and simulation and examines current developments in the US and internationally

This book provides an overview of cyber modeling and simulation (M&S) developments. Using scenarios, courses of action (COAs), and current M&S and simulation environments,...

Temporal Type Theory: A Topos-Theoretic Approach to Systems and Behavior (Progress in Computer Science and Applied Logic)
Temporal Type Theory: A Topos-Theoretic Approach to Systems and Behavior (Progress in Computer Science and Applied Logic)
This innovative monograph explores a new mathematical formalism in higher-order temporal logic for proving properties about the behavior of systems. Developed by the authors, the goal of this novel approach is to explain what occurs when multiple, distinct system components interact by using a category-theoretic description of behavior...
Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models
Mastering Machine Learning Algorithms: Expert techniques to implement popular machine learning algorithms and fine-tune your models

Explore and master the most important algorithms for solving complex machine learning problems.

Key Features

  • Discover high-performing machine learning algorithms and understand how they work in depth
  • One-stop solution to mastering supervised, unsupervised, and...
Applied Optimization: Formulation and Algorithms for Engineering Systems
Applied Optimization: Formulation and Algorithms for Engineering Systems

The starting point in the formulation of any numerical problem is to take an intuitive idea about the problem in question and to translate it into precise mathematical language. This book provides step-by-step descriptions of how to formulate numerical problems so that they can be solved by existing software. It examines various types of...

Applications in Engineering, Life and Social Sciences (De Gruyter Reference)
Applications in Engineering, Life and Social Sciences (De Gruyter Reference)
Fractional Calculus (FC) has originated in 1695, nearly at the same time as conventional calculus. However, FC attracted limited attention and remained a pure mathematical exercise in spite of the original contributions of important mathematicians, physicists and engineers. FC had a rapid development during the last few decades, both in...
Programming Persistent Memory: A Comprehensive Guide for Developers
Programming Persistent Memory: A Comprehensive Guide for Developers

Beginning and experienced programmers will use this comprehensive guide to persistent memory programming. You will understand how persistent memory brings together several new software/hardware requirements, and offers great promise for better performance and faster application startup times?a huge leap forward in byte-addressable...

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