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Author: George E. Edwards Publisher: Aspen Publishing ISBN: 1454818611 Category : Law Languages : en Pages : 622
Book Description
Like an atlas, the LL.M. Roadmap: An International Student's Guide to U.S. Law School Programs provides a series of "roadmaps" to guide prospective LL.M. students through every step of their journey. From assessing your reasons to acquire an LL.M., to choosing an American law school, meeting financial and immigration challenges, and succeeding in law school and a career in law, the LL.M. Roadmap provides straightforward guidance, along with plenty of checklists and reference sources. In ten parts and 33 chapters, this valuable text offers a careful examination of every consideration and contingency for making important life decisions. An indispensable guide for prospective LL.M. candidates, the LL.M. Roadmap features: information and analysis to help readers answer their most pressing questions, such as Should I worry about an LL.M. program's ranking and reputation? How do I get admitted to a U.S. LL.M. Program? What questions should I ask before accepting a U.S. law school's offer of admission? What kind of financial assistance is available? Can I work part-time during my LL.M. program? What will it take to succeed in a U.S. LL.M. program? practical guidance for navigating through the entire LL.M. experience degree and English-language proficiency requirements how U.S. law professors teach legal writing, research, and communication techniques determining whether extracurricular activities will help common immigration and student visa challenges and requirements employment and career advice numerous checklists and lists of resources
Author: George E. Edwards Publisher: Aspen Publishing ISBN: 1454818611 Category : Law Languages : en Pages : 622
Book Description
Like an atlas, the LL.M. Roadmap: An International Student's Guide to U.S. Law School Programs provides a series of "roadmaps" to guide prospective LL.M. students through every step of their journey. From assessing your reasons to acquire an LL.M., to choosing an American law school, meeting financial and immigration challenges, and succeeding in law school and a career in law, the LL.M. Roadmap provides straightforward guidance, along with plenty of checklists and reference sources. In ten parts and 33 chapters, this valuable text offers a careful examination of every consideration and contingency for making important life decisions. An indispensable guide for prospective LL.M. candidates, the LL.M. Roadmap features: information and analysis to help readers answer their most pressing questions, such as Should I worry about an LL.M. program's ranking and reputation? How do I get admitted to a U.S. LL.M. Program? What questions should I ask before accepting a U.S. law school's offer of admission? What kind of financial assistance is available? Can I work part-time during my LL.M. program? What will it take to succeed in a U.S. LL.M. program? practical guidance for navigating through the entire LL.M. experience degree and English-language proficiency requirements how U.S. law professors teach legal writing, research, and communication techniques determining whether extracurricular activities will help common immigration and student visa challenges and requirements employment and career advice numerous checklists and lists of resources
Author: Evelyn Hovenga Publisher: Academic Press ISBN: 0128236396 Category : Medical Languages : en Pages : 612
Book Description
Roadmap to Successful Digital Health Ecosystems: A Global Perspective presents evidence-based solutions found on adopting open platforms, standard information models, technology neutral data repositories, and computable clinical data and knowledge (ontologies, terminologies, content models, process models, and guidelines), resulting in improved patient, organizational, and global health outcomes. The book helps engaging countries and stakeholders take action and commit to a digital health strategy, create a global environment and processes that will facilitate and induce collaboration, develop processes for monitoring and evaluating national digital health strategies, and enable learnings to be shared in support of WHO’s global strategy for digital health. The book explains different perspectives and local environments for digital health implementation, including data/information and technology governance, secondary data use, need for effective data interpretation, costly adverse events, models of care, HR management, workforce planning, system connectivity, data sharing and linking, small and big data, change management, and future vision. All proposed solutions are based on real-world scientific, social, and political evidence. Provides a roadmap, based on examples already in place, to develop and implement digital health systems on a large-scale that are easily reproducible in different environments Addresses World Health Organization (WHO)-identified research gaps associated with the feasibility and effectiveness of various digital health interventions Helps readers improve future decision-making within a digital environment by detailing insights into the complexities of the health system Presents evidence from real-world case studies from multiple countries to discuss new skills that suit new paradigms
Author: Michael A. Bekos Publisher: Springer Nature ISBN: 3031492757 Category : Computers Languages : en Pages : 280
Book Description
This two-volume set LNCS 14465-14466 constitutes the proceedings of the 31st International Symposium on Graph Drawing and Network Visualization, GD 2023, held in Isola delle Femmine, Palermo, Italy, in September 2023. The 31 full papers, 7 short papers, presented together with 2 invited talks, and one contest report, were thoroughly reviewed and selected from the 100 submissions. The abstracts of 11 posters presented at the conference can be found in the back matter of the volume. The contributions were organized in topical sections as follows: beyond planarity; crossing numbers; linear layouts; geometric aspects; visualization challenges; graph representations; graph decompositions; topological aspects; parameterized complexity for drawings; planar graphs; frameworks; algorithmics.
Author: Sharma, Avinash Kumar Publisher: IGI Global ISBN: Category : Computers Languages : en Pages : 375
Book Description
The rapid evolution of software engineering demands innovative approaches to meet the growing complexity and scale of modern software systems. Traditional methods often need help to keep pace with the demands for efficiency, reliability, and scalability. Manual development, testing, and maintenance processes are time-consuming and error-prone, leading to delays and increased costs. Additionally, integrating new technologies, such as AI, ML, Federated Learning, and Large Language Models (LLM), presents unique challenges in terms of implementation and ethical considerations. Advancing Software Engineering Through AI, Federated Learning, and Large Language Models provides a compelling solution by comprehensively exploring how AI, ML, Federated Learning, and LLM intersect with software engineering. By presenting real-world case studies, practical examples, and implementation guidelines, the book ensures that readers can readily apply these concepts in their software engineering projects. Researchers, academicians, practitioners, industrialists, and students will benefit from the interdisciplinary insights provided by experts in AI, ML, software engineering, and ethics.
Author: Christopher J Hodson Publisher: Kogan Page Publishers ISBN: 1398613509 Category : Business & Economics Languages : en Pages : 448
Book Description
How can you manage the complex threats that can cause financial, operational and reputational damage to the business? This practical guide shows how to implement a successful cyber security programme. The second edition of Cyber Risk Management covers the latest developments in cyber security for those responsible for managing threat events, vulnerabilities and controls. These include the impact of Web3 and the metaverse on cyber security, supply-chain security in the gig economy and exploration of the global, macroeconomic conditions that affect strategies. It explains how COVID-19 and remote working changed the cybersecurity landscape. Cyber Risk Management presents a data-centric approach to cyber risk management based on business impact assessments, data classification, data flow modelling and assessing return on investment. It covers pressing developments in artificial intelligence, machine learning, big data and cloud mobility, and includes advice on dealing with malware, data leakage, insider threat and Denial-of-Service. With analysis on the innate human factors affecting cyber risk and awareness and the importance of communicating security effectively, this book is essential reading for all risk and cybersecurity professionals.
Author: Gert Vermeulen Publisher: Maklu ISBN: 904660571X Category : Law Languages : en Pages : 140
Book Description
The growing internationalization and Europeanization of criminal procedures has created new challenges to traditional defense rights. Hence, the Ghent Bar Association, the Bar Association of The Hague, and Ghent University have joined forces, exploring and addressing these challenges during an international conference held in Ghent in November 2012. This book examines the various topics presented at the conference. Whereas international criminal tribunals - especially the International Criminal Court (ICC) - should play an exemplary role when it comes to the right to fair trial and adequate access to a lawyer, reality proves to be troublesome. In this respect, the book addresses key issues: What is the status quaestionis of the defense position and procedural rights before international criminal tribunals, more specifically the ICC? Has the Rome Statute lived up to its expectations after a decade of its application? Can defense before international tribunals keep functioning without a Bar? What are the needs for such a defense to be adequate, knowing that it balances on the borderline between the Anglo-Saxon legal system and the Northern European system? At the same time, defense and procedural rights are developing as a result of different EU Directives which have been or are now being negotiated. This is of major importance to every penalist, even in strictly national cases. The book presents and critically assesses the entire EU 'roadmap for strengthening procedural rights of suspected or accused persons in criminal proceedings.' The EU Directives on the right to information in criminal procedure, the right of access to a lawyer in criminal proceedings, and the right to communicate upon arrest - which are about to revolutionize traditional domestic criminal procedural law - are assessed. Further, the book addresses the important implications and challenges for the legal position of detainees as a result of the recent Framework Decision on the mutual recognition of custodial sentences and measures involving deprivation of liberty. Finally, awareness is raised concerning the future of procedural rights in the framework of cross-border evidence gathering and admissibility. The book will be essential reading for both defense practitioners and scholars taking an interest in defense and procedural rights in criminal matters.
Author: Sebastian Raschka Publisher: Packt Publishing Ltd ISBN: 1801816387 Category : Computers Languages : en Pages : 775
Book Description
This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Learn applied machine learning with a solid foundation in theory Clear, intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices Book DescriptionMachine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself. Why PyTorch? PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.What you will learn Explore frameworks, models, and techniques for machines to learn from data Use scikit-learn for machine learning and PyTorch for deep learning Train machine learning classifiers on images, text, and more Build and train neural networks, transformers, and boosting algorithms Discover best practices for evaluating and tuning models Predict continuous target outcomes using regression analysis Dig deeper into textual and social media data using sentiment analysis Who this book is for If you have a good grasp of Python basics and want to start learning about machine learning and deep learning, then this is the book for you. This is an essential resource written for developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch. Before you get started with this book, you’ll need a good understanding of calculus, as well as linear algebra.
Author: National Academies of Sciences, Engineering, and Medicine Publisher: National Academies Press ISBN: 0309446996 Category : Science Languages : en Pages : 115
Book Description
Historically, the United States has been a world leader in aerospace endeavors in both the government and commercial sectors. A key factor in aerospace leadership is continuous development of advanced technology, which is critical to U.S. ambitions in space, including a human mission to Mars. To continue to achieve progress, NASA is currently executing a series of aeronautics and space technology programs using a roadmapping process to identify technology needs and improve the management of its technology development portfolio. NASA created a set of 14 draft technology roadmaps in 2010 to guide the development of space technologies. In 2015, NASA issued a revised set of roadmaps. A significant new aspect of the update has been the effort to assess the relevance of the technologies by listing the enabling and enhancing technologies for specific design reference missions (DRMs) from the Human Exploration and Operations Mission Directorate and the Science Mission Directorate. NASA Space Technology Roadmaps and Priorities Revisited prioritizes new technologies in the 2015 roadmaps and recommends a methodology for conducting independent reviews of future updates to NASA's space technology roadmaps, which are expected to occur every 4 years.
Author: George E. Edwards
Author: George E. Edwards
Author: Daniel Mendez
Author: Evelyn Hovenga
Author: Michael A. Bekos
Author: Sharma, Avinash Kumar
Author: Christopher J Hodson
Author: Albert Meroño Peñuela
Author: Gert Vermeulen
Author: Sebastian Raschka
Author: National Academies of Sciences, Engineering, and Medicine