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Innovations in Intelligent Machines -2: Intelligent Paradigms and Applications (Studies in Computational Intelligence)
Innovations in Intelligent Machines -2: Intelligent Paradigms and Applications (Studies in Computational Intelligence)

This research volume is a continuation of our previous volume on intelligent machines. We have laid the foundation of intelligent machines in SCI Series Volume 70 by including the possible and successful applications of computational intelligence paradigms in machines for mimicking the human behaviour.

The present volume...

Experiences of Test Automation: Case Studies of Software Test Automation
Experiences of Test Automation: Case Studies of Software Test Automation

Software test automation has moved beyond a luxury to become a necessity. Applications and systems have grown ever larger and more complex, and manual testing simply cannot keep up. As technology changes, and more organizations move into agile development, testing must adapt—and...

Statistical Methods in Analytical Chemistry (Chemical Analysis: A Series of Monographs on Analytical Chemistry and Its Applications)
Statistical Methods in Analytical Chemistry (Chemical Analysis: A Series of Monographs on Analytical Chemistry and Its Applications)

This new edition of a successful, bestselling book continues to provide you with practical information on the use of statistical methods for solving real-world problems in complex industrial environments. Complete with examples from the chemical and pharmaceutical laboratory and manufacturing areas, this thoroughly updated book clearly...

Health Measurement Scales: A Practical Guide to Their Development and Use (Oxford Medical Publications)
Health Measurement Scales: A Practical Guide to Their Development and Use (Oxford Medical Publications)

This is the new edition of the highly successful practical guide for clinicians developing tools to measure subjective states, attitudes or non-tangible outcomes in their patients. It is widely used by people from many disciplines, who have only a limited knowledge of statistics.

This thoroughly updated edition of Health
...

Intrinsically Motivated Learning in Natural and Artificial Systems
Intrinsically Motivated Learning in Natural and Artificial Systems

It has become clear to researchers in robotics and adaptive behaviour that current approaches are yielding systems with limited autonomy and capacity for self-improvement. To learn autonomously and in a cumulative fashion is one of the hallmarks of intelligence, and we know that higher mammals engage in exploratory activities that are not...

Network Security Through Data Analysis: Building Situational Awareness
Network Security Through Data Analysis: Building Situational Awareness

Traditional intrusion detection and logfile analysis are no longer enough to protect today’s complex networks. In this practical guide, security researcher Michael Collins shows you several techniques and tools for collecting and analyzing network traffic datasets. You’ll understand how your network is used, and what...

F# for Quantitative Finance
F# for Quantitative Finance

An introductory guide to utilizing F# for quantitative finance leveraging the .NET platform

Overview

  • Learn functional programming with an easy-to-follow combination of theory and tutorials
  • Build a complete automated trading system with the help of code snippets
  • Use F#...
Think Stats
Think Stats

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.

By working with a single case study throughout this...

Thinking in LINQ: Harnessing the Power of Functional Programming in .NET Applications
Thinking in LINQ: Harnessing the Power of Functional Programming in .NET Applications

LINQ represents a paradigm shift for developers used to an imperative/object oriented programming style, because LINQ draws on functional programming principles. Thinking in LINQ addresses the differences between these two by providing a set of succinct recipes arranged in several groups, including:

Social Media Mining with R
Social Media Mining with R

There’s probably no better place to gain behavioral insights than through social media, but analyzing the mass of data is often difficult. With this book you’ll learn to employ the latest techniques and processes using R.

Overview

  • Learn how to face the challenges of analyzing social media...
Doing Data Science: Straight Talk from the Frontline
Doing Data Science: Straight Talk from the Frontline

Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to...

Designing Data Visualizations: Representing Informational Relationships
Designing Data Visualizations: Representing Informational Relationships

Data visualization is an efficient and effective medium for communicating large amounts of information, but the design process can often seem like an unexplainable creative endeavor. This concise book aims to demystify the design process by showing you how to use a linear decision-making process to encode your information...

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