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The STEAM Revolution: Transdisciplinary Approaches to Science, Technology, Engineering, Arts, Humanities and Mathematics
The STEAM Revolution: Transdisciplinary Approaches to Science, Technology, Engineering, Arts, Humanities and Mathematics

This volume is dedicated to collaborative research across STEM disciplines, the arts and humanities. It includes six sections, framed from a global perspective and exhibits contributions from key experts in the field, emerging scholarly voices, and STEAM practitioners. The added value of STEAM projects in research is highlighted in...

Introduction to Python for Science and Engineering (Series in Computational Physics)
Introduction to Python for Science and Engineering (Series in Computational Physics)

Series in Computational Physics
Steven A. Gottlieb and Rubin H. Landau, Series Editors

Introduction to Python for Science and Engineering

This guide offers a quick and incisive introduction to Python programming for anyone. The author has carefully developed a concise...

Public Administration in Europe: The Contribution of EGPA (Governance and Public Management)
Public Administration in Europe: The Contribution of EGPA (Governance and Public Management)
This book considers the ways in which public administration (PA) has been studied in Europe over the last forty years, and examines in particular the contribution of EGPA, the European Group for Public Administration, both to the growth of a truly pan-European PA, and to the future of PA in Europe. The book provides a lively reflection on the...
Mastering SVG: Ace web animations, visualizations, and vector graphics with HTML, CSS, and JavaScript
Mastering SVG: Ace web animations, visualizations, and vector graphics with HTML, CSS, and JavaScript

Take the plunge and develop cross-browser-compatible and responsive web designs with SVG

Key Features

  • Master the art of custom animations and visualizations with SVG, CSS, and JavaScript
  • Combine SVG with third-party libraries and frameworks such as React, JQuery, D3, and...
Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume IV: Organizational Design and Management (ODAM), ... in Intelligent Systems and Computing)
Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018): Volume IV: Organizational Design and Management (ODAM), ... in Intelligent Systems and Computing)

This book presents the proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018), held on August 26-30, 2018, in Florence, Italy. By highlighting the latest theories and models, as well as cutting-edge technologies and applications, and by combining findings from a range of disciplines including...

Beginning Blockchain: A Beginner's Guide to Building Blockchain Solutions
Beginning Blockchain: A Beginner's Guide to Building Blockchain Solutions

Understand the nuts and bolts of Blockchain, its different flavors with simple use cases, and cryptographic fundamentals. You will also learn some design considerations that can help you build custom solutions.

Beginning Blockchain is a beginner’s guide to understanding the core concepts of...

Deep Learning Quick Reference: Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras
Deep Learning Quick Reference: Useful hacks for training and optimizing deep neural networks with TensorFlow and Keras

Dive deeper into neural networks and get your models trained, optimized with this quick reference guide

Key Features

  • A quick reference to all important deep learning concepts and their implementations
  • Essential tips, tricks, and hacks to train a variety of deep learning...
Hands-On Bitcoin Programming with Python: Build powerful online payment centric applications with Python
Hands-On Bitcoin Programming with Python: Build powerful online payment centric applications with Python

Simplified Python programming for Bitcoin and blockchain

Key Features

  • Build Bitcoin applications in Python with the help of simple examples
  • Mine Bitcoins, program Bitcoin-enabled APIs and transaction graphs, and build trading bots
  • Analyze Bitcoin...
Distributed Computing with Go: Practical concurrency and parallelism for Go applications
Distributed Computing with Go: Practical concurrency and parallelism for Go applications

A tutorial leading the aspiring Go developer to full mastery of Golang's distributed features.

Key Features

  • This book provides enough concurrency theory to give you a contextual understanding of Go concurrency
  • It gives weight to synchronous and asynchronous data...
Keras Reinforcement Learning Projects: 9 projects exploring popular reinforcement learning techniques to build self-learning agents
Keras Reinforcement Learning Projects: 9 projects exploring popular reinforcement learning techniques to build self-learning agents

A practical guide to mastering reinforcement learning algorithms using Keras

Key Features

  • Build projects across robotics, gaming, and finance fields, putting reinforcement learning (RL) into action
  • Get to grips with Keras and practice on real-world unstructured...
Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition
Machine Learning Algorithms: Popular algorithms for data science and machine learning, 2nd Edition

An easy-to-follow, step-by-step guide for getting to grips with the real-world application of machine learning algorithms

Key Features

  • Explore statistics and complex mathematics for data-intensive applications
  • Discover new developments in EM algorithm, PCA, and bayesian...
Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and Keras
Hands-On Transfer Learning with Python: Implement advanced deep learning and neural network models using TensorFlow and Keras

Deep learning simplified by taking supervised, unsupervised, and reinforcement learning to the next level using the Python ecosystem

Key Features

  • Build deep learning models with transfer learning principles in Python
  • implement transfer learning to solve real-world research...
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