The dramatic change in the price and accessibility of data demands a new focus on data analytic literacy. This book is intended for use by people who perform regular data analyses. It aims to give a brief summary of the key ideas, practices, and pitfalls of modern data analysis. One goal is to summarize in a succinct way the most common difficultie...
This book is about digital games, the people who play digital games, and how they play them. This poses a large problem: even when discussing one game, each instance of play is different. Combine this with the thousands of digital games, and the millions of players, and it is apparent that the number of individual instances of game play is unfathom...
This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature i...
This book offers a comparative study of eight ambitious national reforms that sought to create opportunities for students to gain the necessary breath of skills to thrive in a rapidly changing world. It examines how national governments transform education systems to provide students opportunities to develop such skills. It analyses comprehensive e...
This book provides anthropological insights into the arduous yet rewarding journeys involved in selected TESOL teachers' pedagogical transition to teaching English for Academic Purposes (EAP) at universities in Shanghai, the largest metropolitan area in China.
Applying a unique combination of ethnography and phenomenology, the book offers in...
This landmark text describes research-informed practices and applications of Medical Family Therapy (MedFT) across an array of care environments and clinical populations. It is a timely release for a rapidly growing field and ably contextualizes MedFT within a myriad of areas, including family medicine, obstetrics and gynecology, psychiatry, alcoho...
This manual, written by world opinion leaders in the field, is designed to provide readily accessible, step-by-step guidance on all aspects of the management of mass casualty incidents. Readers will find a wealth of helpful practical suggestions as well as information on the latest relevant scientific advances and their implications. Globally, mass...
This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural ...
This book offers a comprehensive and readable introduction to modern business and data analytics. It is based on the use of Excel, a tool that virtually all students and professionals have access to. The explanations are focused on understanding the techniques and their proper application, and are supplemented by a wealth of in-chapter and end-of-c...
This insightful book examines the allegations against the professionalism, transparency, and integrity of law enforcement toward minority groups, from a global perspective. It addresses the challenges inherent in maintaining strong ties with members of the community, and draws attention to obstacles in ensuring public confidence and trust in rule o...
This textbook provides an overview for students in Criminology and Criminal Justice about the overlap between the criminal justice system and mental health. It provides an accessible overview of basic signs and symptoms of major mental illnesses and size of scope of justice-involved individuals with mental illness.In the United States, the cri...
This book covers the content of European postgraduate spine surgery courses, using a case-based approach. A step-wise solution to a real clinical problem is described and compared to the best available evidence. A weighted conclusion is provided on how to bridge the gap (if there is one) between standard of care and evidence-based medicine.Spine Su...
This book covers the entire Business Process Management (BPM) lifecycle, from process identification to process monitoring, covering along the way process modelling, analysis, redesign and automation. Concepts, methods and tools from business management, computer science and industrial engineering are blended into one comprehensive and inter-discip...
Updated and revised with more examples and expanded discussions, this second edition continues the aim of providing teachers with a solid understanding of the use and function of grammatical structures in American English. The book avoids jargon and presents essential grammatical structures clearly and concisely. Dr. DeCapua approaches grammar from...
This book is the first to present a rich selection of over 30 real-world cases of how leading organizations conduct Business Process Management (BPM). The cases stem from a diverse set of industry sectors and countries on different continents, reporting on best practices and lessons learned. The book showcases how BPM can contribute to both exploit...
This title meets a great demand for training in spatial analysis tools accessible to a wide audience. Landscape ecology continues to grow as an exciting discipline with much to offer for solving pressing and emerging problems in environmental science. Much of the strength of landscape ecology lies in its ability to address challenges over large are...
This first-of-its-kind textbook surveys rehabilitation and vocational programs aiding persons with disabilities in remote and developing areas in the U.S. and abroad. Contributors discuss longstanding challenges to these communities, most notably economic and environmental obstacles and ongoing barriers to service delivery, as well as their resilie...
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual...
That group includes full-time professional trainers, of course, but it also includes IT pros and those brave souls who staff the help desk in corporations. Most of all, it includes the incredibly large population of people who have earned a reputation for being "the person who knows Windows."
With that knowledge comes a seemingly endle...
A deep learning is of great interest these days, the crucial necessity for rapid and optimized implementation of the algorithms and designing architectures is the software environment. TensorFlow is designed to facilitate this goal. The strong advantage of TensorFlow is it flexibility is designing highly modular model which also can be a disadvanta...
R is one of the most popular, powerful data analytics languages and environments in use by data scientists. Actionable business data is often stored in Relational Database Management Systems (RDBMS), and one of the most widely used RDBMS is Microsoft SQL Server. Much more than a database server, it's a rich ecostructure with advanced analytic ...
PostgreSQL for Beginners book is intended for those who only start getting acquainted with the world of PostgreSQL. It contains some basic information about this DBMS and its main features, history of its creation and development roadmap, step-by-step installation instructions and a getting started guide....
As machine learning is increasingly leveraged to find patterns, conduct analysis, and make decisions - sometimes without final input from humans who may be impacted by these findings - it is crucial to invest in bringing more stakeholders into the fold. This book of Python projects in machine learning tries to do just that: to equip the developers ...
Neural networks are a powerful tool for developers, but harnessing them can be a challenge. With Keras Succinctly, author James McCaffrey introduces Keras, an open-source, neural network library designed specifically to make working with backend neural network tools easier....
Microsoft CNTK (Cognitive Toolkit, formerly Computational Network Toolkit), an open source code framework, enables you to create feed-forward neural network time series prediction systems, convolutional neural network image classifiers, and other deep learning systems. In Introduction to CNTK Succinctly, author James McCaffrey offers instruction on...
TensorFlow is a free and open-source software library for machine learning. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks.
This book is a somewhat intermediate-level introduction to Tensorflow 2. We will eventually cover everything tf.keras, but no so fast until we implemented t...
If you want a basic understanding of computer vision's underlying theory and algorithms, this hands-on introduction is the ideal place to start. You'll learn techniques for object recognition, 3D reconstruction, stereo imaging, augmented reality, and other computer vision applications as you follow clear examples written in Python.
Pro...
Project Management Skills for All Careers offers a framework for managing projects in any career area. The concepts can be applied no matter where you work. As a matter of fact, many of our dislocated workers are trained to become certified in Project Management. Project management skills are essential and invaluable for anyone who initiates or is ...
Have you ever wished you could reprogram your brain, just as a hacker would a computer? In this 3-step guide to improving your mental habits, learn to take charge of your mind and banish negative thoughts, habits, and anxiety - in just 21 days!
A seasoned author, comedian, and entrepreneur, Sir John Hargrave once suffered from unhealthy addictio...
From paintings and food to illness and icebergs, science is happening everywhere. Rather than follow the path of a syllabus or textbook, Andrew Morris takes examples from the science we see every day and uses them as entry points to explain a number of fundamental scientific concepts - from understanding colour to the nature of hormones - in ways t...
Support Vector Machines (SVMs) are some of the most performant off-the-shelf, supervised machine-learning algorithms. In Support Vector Machines Succinctly, author Alexandre Kowalczyk guides readers through the building blocks of SVMs, from basic concepts to crucial problem-solving algorithms. He also includes numerous code examples and a lengthy b...
Given the increasing attention to managing, publishing, and preserving research datasets as scholarly assets, what competencies in working with research data will graduate students in STEM disciplines need to be successful in their fields? And what role can librarians play in helping students attain these competencies? In addressing these questions...