Schema Coaching is an informative guide for coaches, providing readers with a powerful and evidence-based approach to dealing with persistent personal difficulties. Schema coaching has a strong foundation in schema therapy which has been used in many parts of the world for over 20 years as a highly successful approach for helping clients with anxiety and depression, as well as more severe personality disorders. The book provides clear practical guidelines, illustrative case studies and reflective practice exercises to those who wish to implement a range of schema techniques when coaching with the non-clinical population. The book is in two parts, the first is primarily designed for coaches that do not have clinical, counselling or psychotherapy training and the second includes more advanced techniques which are designed for coaches with this type of training or qualifications. It also clearly sets out the ethical steps any coach should undertake before using therapeutic techniques with a client. This will be an informative and engaging resource in a new and extremely important area of coaching, suitable for coaches, coaching psychologists, coaching educators, and anyone with a general interest in this topic.

Research shapes our understanding of practice in powerful and important ways, in sports coaching as in any other discipline. This innovative study explores the philosophical foundations of sport coaching research, examining the often implicit links between research process and practice, descriptions and prescriptions. Arguing that the assumptions of traditional single-disciplinary accounts, such as those based in psychology or sociology, risk over-simplifying our understanding of coaching, this book presents an alternative framework for sports coaching research based on critical realism. The result is an embedded, relational and emergent conception of coaching practice that opens new ways of thinking about coaching knowledge. Drawing on new empirical case study research, it demonstrates vividly how a critical realist-informed approach can provide a more realistic and accountable knowledge to coaching stakeholders. This knowledge promises to have important implications for coaching, and coach education and development practices. Sport Coaching Research and Practice: Ontology, Interdisciplinarity and Critical Realism is fascinating reading for any student or researcher working in sports coaching, sport pedagogy, physical education, the philosophy or sociology of sport, or research methodology in sport and exercise.

Competency Based Training for Clinical Supervisors builds upon the current competencies schema to design a framework for training programs. The book's authors begin with a practical program curriculum, addressing the challenges of treatment and workplace satisfaction. The next sections are divided based on transversal competencies, including intellectual order, methodological order, personal and social order, and communication order. The last section of the book is dedicated to ethics in both training programs and models for psychotherapy and clinical supervision. - Presents a practical training program for supervisors that includes program curriculum, requirements, and final evaluation procedures - Reviews ICT competencies in relation to clinical supervision - Includes two chapters on ethics in training programs

This study guide for server administrators preparing to take the Microsoft Certified Technology Specialist (MCTS) exam 70-662 provides instruction and reference material on subjects covered by this business intelligence specialization certification test. Topics discussed include installing Exchange Server 2010, mailboxes, distribution groups, configuring client access, logging and reports, transport servers and Exchange in high-availability environments. Each chapter includes screen shots and code examples, and a companion CD-ROM includes additional material and sample data sets as well as practice tests for each section. Access to four networked Exchange servers is required to use the provided practice materials and advice on creating virtual servers is included.--

This book gives an insight into virtual as well as multimedia possibilities for professional applications, scientifically based concepts, competence development and ethical guidelines. Case studies are used to illustrate the multimedia-based, virtual implementation of systemic solution-oriented support processes. The interweaving of virtual coaching with training modules takes into account the latest trends in continuing education. For this, provider platforms and tools must meet certain requirements to ensure safety and professionalism.

EXAM PREP GUIDE Ace your preparation for the skills measured by Exam 70-462--and on the job--with this official Microsoft study guide. Work at your own pace through a series of lessons and reviews that fully cover each exam objective. Then, reinforce and apply what you've learned through real-world case scenarios and practice exercises. Maximize your performance on the exam by mastering the skills and experience measured by these objectives: Install and configure SQL Server Maintain instances and databases Optimize and troubleshoot SQL Server Manage data Implement security Implement high availability PRACTICE TESTS A Note Regarding Practice Tests Assess your skills with practice tests. You can work through hundreds of questions using multiple testing modes to meet your specific learning needs. You get detailed explanations for right and wrong answers--including a customized learning path that describes how and where to focus your studies. For customers who purchase an ebook version of this title, instructions for downloading the CD files can be found in the ebook.

Following the rapid expansion of translation studies as an emergent (inter-)discipline over recent decades, demand for doctoral research opportunities is now growing fast in many countries. At the same time, doctoral training packages of a generic nature have been elaborated and refined at many universities, drawing on long traditions of doctoral research in established disciplines. A degree of consensus no doubt exists on such matters as the need for rigor, method and the generation of new knowledge. Beyond that, however, there are a host of issues specific to translation and interpreting studies that remain under-researched and under-discussed. Contributors to this special issue encourage reflection on a range of issues in ways that foster further debate and collaboration on the development of doctoral studies within the field. A number of concrete proposals are offered that could be adapted to local situations in different countries and academic settings. While some of the contributions adopt a mainly empirical stance, others adopt a broad perspective on training, citing examples of widely differing projects. Two contributors offer insights from personal experience of doctoral study while another describes the organization of doctoral work within the conceptual framework of a research group. All consider training from the angle of student needs and offer concrete suggestions for ensuring that doctoral candidates are equipped with the guidance, concepts, methods and tools required for success.

A vital guide to building the platforms and systems that bring deep learning models to production. In Designing Deep Learning Systems you will learn how to: Transfer your software development skills to deep learning systems Recognize and solve common engineering challenges for deep learning systems Understand the deep learning development cycle Automate training for models in TensorFlow and PyTorch Optimize dataset management, training, model serving and hyperparameter tuning Pick the right open-source project for your platform Deep learning systems are the components and infrastructure essential to supporting a deep learning model in a production environment. Written especially for software engineers with minimal knowledge of deep learning’s design requirements, Designing Deep Learning Systems is full of hands-on examples that will help you transfer your software development skills to creating these deep learning platforms. You’ll learn how to build automated and scalable services for core tasks like dataset management, model training/serving, and hyperparameter tuning. This book is the perfect way to step into an exciting—and lucrative—career as a deep learning engineer. About the technology To be practically usable, a deep learning model must be built into a software platform. As a software engineer, you need a deep understanding of deep learning to create such a system. Th is book gives you that depth. About the book Designing Deep Learning Systems: A software engineer's guide teaches you everything you need to design and implement a production-ready deep learning platform. First, it presents the big picture of a deep learning system from the developer’s perspective, including its major components and how they are connected. Then, it carefully guides you through the engineering methods you’ll need to build your own maintainable, efficient, and scalable deep learning platforms. What's inside The deep learning development cycle Automate training in TensorFlow and PyTorch Dataset management, model serving, and hyperparameter tuning A hands-on deep learning lab About the reader For software developers and engineering-minded data scientists. Examples in Java and Python. About the author Chi Wang is a principal software developer in the Salesforce Einstein group. Donald Szeto was the co-founder and CTO of PredictionIO. Table of Contents 1 An introduction to deep learning systems 2 Dataset management service 3 Model training service 4 Distributed training 5 Hyperparameter optimization service 6 Model serving design 7 Model serving in practice 8 Metadata and artifact store 9 Workflow orchestration 10 Path to production