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EDUCAÇÃO E ENSINO EM DIFERENTES CONTEXTOS: Diálogo entre Saberes e Práticas – Volume 1
Esta obra reúne capítulos das várias áreas do conhecimento e níveis de escolaridade que oportunizem, de algum modo, reflexões teórico-práticas por meio das diversas discussões em torno das abordagens em Educação e Ensino e com intuito de contribuir na formação dos alunos e dos professores de modo holístico. Participam capítulos que apresentam diálogos dos múltiplos saberes e variadas práticas interdisciplinares que tratam das diferentes questões compatíveis entre ensino e aprendizagem.
Graph Representation Learning
Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical sy...
Mechanisms of antibiotic resistance
Antibiotics represent one of the most successful forms of therapy in medicine. But the efficiency of antibiotics is compromised by the growing number of antibiotic-resistant pathogens. Antibiotic resistance, which is implicated in elevated morbidity and mortality rates as well as in the increased treatment costs, is considered to be one of the major global public health threats (www.who.int/drugresistance/en/) and the magnitude of the problem recently prompted a number of international and national bodies to take actions to protect the public (http://ec.europa.eu/dgs/health_consumer/docs/road-map-amr_en.pdf: http://www.who.int/drugresistance/amr_global_action_plan/en/; http://www.whitehouse....
Foxcatcher
The riveting true story of Olympic wrestling gold medal-winning brothers Mark Schultz and Dave Schultz and their fatal relationship with the eccentric John du Pont, heir to the du Pont dynasty On January 26, 1996, Dave Schultz, Olympic gold medal winner and wrestling golden boy, was shot three times by du Pont family heir John E. du Pont at the famed Foxcatcher Farms estate in Pennsylvania. Following the murder there was a tense standoff when du Pont barricaded himself in his home for two days before he was finally captured. Foxcatcher is gold medal winner Mark Schultz’s memoir, revealing what made him and his brother champion and what brought them to Foxcatcher Farms. It’s a vivid portrait of the complex relationship he and his brother had with du Pont, a man whose catastrophic break from reality led to tragedy. No one knows the inside story of what went on behind the scenes at Foxcatcher Farms—and inside John du Pont’s head—better than Mark Schultz. The incredible true story of these championship-winning brothers and the wealthiest convicted murderer of all time will be making headlines this fall, and Mark’s memoir will reveal the true inside story.
Federated Learning
This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated lear...
Representation Learning for Natural Language Processing
This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.
Program Synthesis
Program synthesis is the task of automatically finding a program in the underlying programming language that satisfies the user intent expressed in the form of some specification. Since the inception of artificial intelligence in the 1950s, this problem has been considered the holy grail of Computer Science. Despite inherent challenges in the problem such as ambiguity of user intent and a typically enormous search space of programs, the field of program synthesis has developed many different techniques that enable program synthesis in different real-life application domains. It is now used successfully in software engineering, biological discovery, compute-raided education, end-user programm...
Convex Optimization
Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of convex optimization problems. Duality and approximation techniques are then covered, as are statistical estimation techniques. Various geometrical problems are then presented, and there is detailed discussion of unconstrained and constrained minimization problems, and interior-point methods. The focus of the book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance and economics.
Dirty Boxing
Perfect for fans of emotionally charged, sexy reads, Dirty Boxing, the first installment in the Blood and Glory series, is full of “tons of emotion and heat” (Molly O'Keefe, USA TODAY bestselling author), and reveals that the mixed martial arts battles waged inside the octagon are second only to the battles fought in the name of love. After an unstable childhood, Jules Darcy is very familiar with the risks of falling in love. And as an adult, she’s never let herself forget just how high those stakes can be. That’s why she ran away a year ago after her fling with MMA fighter Nick Giannakis quickly got serious. But when she jumps at the opportunity to reconnect with her dad by acceptin...
