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Books tags: decision
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...
Blockchain Technology for Industry 4.0: Secure, Decentralized, Distributed and Trusted Industry Environment (Blockchain Technologies)
Blockchain Technology for Industry 4.0: Secure, Decentralized, Distributed and Trusted Industry Environment (Blockchain Technologies)

This book explores recent advances in blockchain technology and its impact on Industry 4.0 via advanced technologies. It provides an in-depth analysis of the step by step evolution of Industry 4.0 and blockchain technologies for creating the next-generation, secure, decentralized, distributed and trusted industry environment and...

Data Analysis and Visualization Using Python: Analyze Data to Create Visualizations for BI Systems
Data Analysis and Visualization Using Python: Analyze Data to Create Visualizations for BI Systems
Look at Python from a data science point of view and learn proven techniques for data visualization as used in making critical business decisions. Starting with an introduction to data science with Python, you will take a closer look at the Python environment and get acquainted with editors such as...
Learning Linux Shell Scripting
Learning Linux Shell Scripting

Unleash the power of shell scripts to solve real-world problems by breaking through the practice of writing tedious code

About This Book

  • Learn how to efficiently and effectively build shell scripts and develop advanced applications with this handy book
  • Develop high...
Network-Based Distributed Planning Using Coevolutionary Algorithms (Intelligent Control and Intelligent Automation - Vol. 13)
Network-Based Distributed Planning Using Coevolutionary Algorithms (Intelligent Control and Intelligent Automation - Vol. 13)
In this book, efficient and scalable coevolutionary algorithms for distributed, network-based decision-making, which utilize objective functions are developed in a networked environment where internode communications are a primary factor in system performance.A theoretical foundation for this class of coevolutionary algorithms is introduced...
Understand, Manage, and Prevent Algorithmic Bias: A Guide for Business Users and Data Scientists
Understand, Manage, and Prevent Algorithmic Bias: A Guide for Business Users and Data Scientists

Are algorithms friend or foe?

The human mind is evolutionarily designed to take shortcuts in order to survive. We jump to conclusions because our brains want to keep us safe. A majority of our biases work in our favor, such as when we feel a car speeding in our direction is dangerous and we instantly move, or when we...

Artificial Intelligence and Machine Learning Fundamentals: Develop real-world applications powered by the latest AI advances
Artificial Intelligence and Machine Learning Fundamentals: Develop real-world applications powered by the latest AI advances

Create AI applications in Python and lay the foundations for your career in data science

Key Features

  • Practical examples that explain key machine learning algorithms
  • Explore neural networks in detail with interesting examples
  • Master core AI concepts with...
Practical Cyber Intelligence: How action-based intelligence can be an effective response to incidents
Practical Cyber Intelligence: How action-based intelligence can be an effective response to incidents
Your one stop solution to implement a Cyber Defense Intelligence program in to your organisation.
Key Features
  • Intelligence processes and procedures for response mechanisms
  • Master F3EAD to drive processes based on intelligence
  • Threat modeling and intelligent frameworks
    • ...
Financial Cybersecurity Risk Management: Leadership Perspectives and Guidance for Systems and Institutions
Financial Cybersecurity Risk Management: Leadership Perspectives and Guidance for Systems and Institutions
Understand critical cybersecurity and risk perspectives, insights, and tools for the leaders of complex financial systems and markets. This book offers guidance for decision makers and helps establish a framework for communication between cyber leaders and front-line professionals. Information is provided to help in the analysis of...
Introduction to Evolutionary Algorithms (Decision Engineering)
Introduction to Evolutionary Algorithms (Decision Engineering)
Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics. Introduction to Evolutionary Algorithms presents an insightful, comprehensive, and up-to-date treatment of evolutionary algorithms....
Music-Inspired Harmony Search Algorithm: Theory and Applications (Studies in Computational Intelligence)
Music-Inspired Harmony Search Algorithm: Theory and Applications (Studies in Computational Intelligence)

Calculus has been used in solving many scientific and engineering problems. For optimization problems, however, the differential calculus technique sometimes has a drawback when the objective function is step-wise, discontinuous, or multi-modal, or when decision variables are discrete rather than continuous. Thus, researchers have...

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Graphics in this book are printed in black and white.

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data....

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