Developing Learning Professionals

This book introduces artificial neural networks to students and professionals. It covers the theory and applications in statistical learning methods with concrete Python code examples.

This very practical book helps professionals and students to engage critically with their practice by addressing mental capacity and adult safeguarding. Its accessible and easy to navigate format incl

This very practical book helps professionals and students to engage critically with their practice by addressing mental capacity and adult safeguarding. Its accessible and easy to navigate format incl

Successful investment strategies are specific implementations of general theories. An investment strategy that lacks a theoretical justification is likely to be false. Hence, an asset manager should concentrate her efforts on developing a theory rather than on backtesting potential trading rules. The purpose of this Element is to introduce machine learning (ML) tools that can help asset managers discover economic and financial theories. ML is not a black box, and it does not necessarily overfit. ML tools complement rather than replace the classical statistical methods. Some of ML's strengths include (1) a focus on out-of-sample predictability over variance adjudication; (2) the use of computational methods to avoid relying on (potentially unrealistic) assumptions; (3) the ability to “learn” complex specifications, including nonlinear, hierarchical, and noncontinuous interaction effects in a high-dimensional space; and (4) the ability to disentangle the variable search from the specific

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every cha

The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every cha

Calling All Superheroes highlights the enormous potential of superhero play in supporting learning and development in early childhood. Using examples from practice, it provides guidance on how to effe

Variational Bayesian learning is one of the most popular methods in machine learning. Designed for researchers and graduate students in machine learning, this book summarizes recent developments in the non-asymptotic and asymptotic theory of variational Bayesian learning and suggests how this theory can be applied in practice. The authors begin by developing a basic framework with a focus on conjugacy, which enables the reader to derive tractable algorithms. Next, it summarizes non-asymptotic theory, which, although limited in application to bilinear models, precisely describes the behavior of the variational Bayesian solution and reveals its sparsity inducing mechanism. Finally, the text summarizes asymptotic theory, which reveals phase transition phenomena depending on the prior setting, thus providing suggestions on how to set hyperparameters for particular purposes. Detailed derivations allow readers to follow along without prior knowledge of the mathematical techniques specific to

At a moment when the ePortfolio has been recognized as a high impact practice – as a unique site for hosting student integrative learning and as a powerful genre for assessment – this book provides fa

At a moment when the ePortfolio has been recognized as a high impact practice – as a unique site for hosting student integrative learning and as a powerful genre for assessment – this book provides fa

A valuable resource for professionals working with pre-school children, or with older children lacking basic literacy skills, this book provides practical photocopiable activities to develop the early

Introduction to Research and Medical Literature for Health Professionals, Fifth Edition is an essential resource to help students, faculty, and practitioners understand the research process, interpret

Intervision is a form of expertise development in which professionals call on their colleagues' peers to help them gain insights into the problems they have at work. A group of five to eight participa

Intervision is a form of expertise development in which professionals call on their colleagues' peers to help them gain insights into the problems they have at work. A group of five to eight participa

This book provides a unique, in-depth discussion of multiview learning, one of the fastest developing branches in machine learning. Multiview Learning has been proved to have good theoretical underpin

Written especially for professionals, students, parents, counselors and others interested in education, this annually updated resource provides sources of scholarships, fellowships, loans, internships

This book introduces students and professionals to the key concepts and skills that underpin a holistic and recovery orientated approach to eating disorders. It provides an overview of the main profes

This book provides information on postharvest extension/outreach programs, capacity building and practical methodologies for postharvest extension professionals and food science teachers, food process

Develop Android apps with Kotlin to create more elegant programs than the Java equivalent. This book covers the various aspects of a modern Android app that professionals are expected to encounter. Th

Today, being a health consumer encompasses more than being knowledgeable about traditional medicine and health practice but also includes the necessity to be well informed about the expanding field of

Learning to think and act creatively is a requisite fundamental aspect of design education for architectural and interior design as well as industrial and graphic design. Development of creative capac

Learning to think and act creatively is a requisite fundamental aspect of design education for architectural and interior design as well as industrial and graphic design. Development of creative capac

Policy and Politics for Nurses and Other Health Professionals, Third Edition focuses on the idea that all healthcare providers require a fundamental understanding of the healthcare system including bu

Essentials of Medical Genetics for Nursing and Other Health Professionals is a concise introduction to genetics clinically applicable to nursing students as well as students in other healthcare profes

Evaluating Environmental and Social Impact Assessment in Developing Countries, Second Edition, outlines an evaluation framework that supports environmental professionals, researchers and academics in

Curriculum Design is the cornerstone of higher education. Faculty members, teachers, administrators, and other professionals engage in designing curricula which structure the study and learning proces

Too many teaching and learning activities require students to use only lower-order thinking (LOT), and many of the attempts educators make to promote higher-order thinking (HOT) are misconstrued. High

This book explores what learning intervention means in inclusive classroom settings. It provides educational professionals with the knowledge and skills they require to reflect on, and respond to stud

This book explores what learning intervention means in inclusive classroom settings. It provides educational professionals with the knowledge and skills they require to reflect on, and respond to stud

Art for Children Experiencing Psychological Trauma aims to increase understanding of art’s potential to enhance learning for children living in crisis. In this groundbreaking resource, the first of it

Developing Resilience in Children and Young People: A Practical Guide is the first book to describe the work of professionals using the world’s first mentalisation-based mental health education progra

Developing Resilience in Children and Young People: A Practical Guide is the first book to describe the work of professionals using the world’s first mentalisation-based mental health education progra

This book presents an innovative teaching experiment and an analytical study of critical thinking and the sociocultural theory of learning to illustrate the cognitive learning development mechanisms.

Learning how to write for just one type of interactive media, such as web sites or games, is not enough! To be truly successful as an interactive writer or designer, you need to understand how to crea

This new volume highlights of a broad selection of valuable research work by renowned professionals and scientists from the academia and travel industry. It provides a wide-ranging vision of a multitu