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Author: Mathew Salvaris Publisher: Apress ISBN: 1484236793 Category : Computers Languages : en Pages : 298
Book Description
Get up-to-speed with Microsoft's AI Platform. Learn to innovate and accelerate with open and powerful tools and services that bring artificial intelligence to every data scientist and developer. Artificial Intelligence (AI) is the new normal. Innovations in deep learning algorithms and hardware are happening at a rapid pace. It is no longer a question of should I build AI into my business, but more about where do I begin and how do I get started with AI? Written by expert data scientists at Microsoft, Deep Learning with the Microsoft AI Platform helps you with the how-to of doing deep learning on Azure and leveraging deep learning to create innovative and intelligent solutions. Benefit from guidance on where to begin your AI adventure, and learn how the cloud provides you with all the tools, infrastructure, and services you need to do AI. What You'll Learn Become familiar with the tools, infrastructure, and services available for deep learning on Microsoft Azure such as Azure Machine Learning services and Batch AI Use pre-built AI capabilities (Computer Vision, OCR, gender, emotion, landmark detection, and more) Understand the common deep learning models, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs) with sample code and understand how the field is evolving Discover the options for training and operationalizing deep learning models on Azure Who This Book Is For Professional data scientists who are interested in learning more about deep learning and how to use the Microsoft AI platform. Some experience with Python is helpful.
Author: Mathew Salvaris Publisher: Apress ISBN: 1484236793 Category : Computers Languages : en Pages : 298
Book Description
Get up-to-speed with Microsoft's AI Platform. Learn to innovate and accelerate with open and powerful tools and services that bring artificial intelligence to every data scientist and developer. Artificial Intelligence (AI) is the new normal. Innovations in deep learning algorithms and hardware are happening at a rapid pace. It is no longer a question of should I build AI into my business, but more about where do I begin and how do I get started with AI? Written by expert data scientists at Microsoft, Deep Learning with the Microsoft AI Platform helps you with the how-to of doing deep learning on Azure and leveraging deep learning to create innovative and intelligent solutions. Benefit from guidance on where to begin your AI adventure, and learn how the cloud provides you with all the tools, infrastructure, and services you need to do AI. What You'll Learn Become familiar with the tools, infrastructure, and services available for deep learning on Microsoft Azure such as Azure Machine Learning services and Batch AI Use pre-built AI capabilities (Computer Vision, OCR, gender, emotion, landmark detection, and more) Understand the common deep learning models, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs) with sample code and understand how the field is evolving Discover the options for training and operationalizing deep learning models on Azure Who This Book Is For Professional data scientists who are interested in learning more about deep learning and how to use the Microsoft AI platform. Some experience with Python is helpful.
Author: Natalie Wexler Publisher: Penguin ISBN: 0735213569 Category : Education Languages : en Pages : 354
Book Description
The untold story of the root cause of America's education crisis--and the seemingly endless cycle of multigenerational poverty. It was only after years within the education reform movement that Natalie Wexler stumbled across a hidden explanation for our country's frustrating lack of progress when it comes to providing every child with a quality education. The problem wasn't one of the usual scapegoats: lazy teachers, shoddy facilities, lack of accountability. It was something no one was talking about: the elementary school curriculum's intense focus on decontextualized reading comprehension "skills" at the expense of actual knowledge. In the tradition of Dale Russakoff's The Prize and Dana Goldstein's The Teacher Wars, Wexler brings together history, research, and compelling characters to pull back the curtain on this fundamental flaw in our education system--one that fellow reformers, journalists, and policymakers have long overlooked, and of which the general public, including many parents, remains unaware. But The Knowledge Gap isn't just a story of what schools have gotten so wrong--it also follows innovative educators who are in the process of shedding their deeply ingrained habits, and describes the rewards that have come along: students who are not only excited to learn but are also acquiring the knowledge and vocabulary that will enable them to succeed. If we truly want to fix our education system and unlock the potential of our neediest children, we have no choice but to pay attention.
Author: C. Maria Keet Publisher: ISBN: 9781848902954 Category : Computer software Languages : en Pages : 344
Book Description
An Introduction to Ontology Engineering introduces the student to a comprehensive overview of ontology engineering, and offers hands-on experience that illustrate the theory. The topics covered include: logic foundations for ontologies with languages and automated reasoning, developing good ontologies with methods and methodologies, the top-down approach with foundational ontologies, and the bottomup approach to extract content from legacy material, and a selection of advanced topics that includes Ontology-Based Data Access, the interaction between ontologies and natural languages, and advanced modelling with fuzzy and temporal ontologies. Each chapter contains review questions and exercises, and descriptions of two group assignments are provided as well. The textbook is aimed at advanced undergraduate/postgraduate level in computer science and could fi t a semester course in ontology engineering or a 2-week intensive course. Domain experts and philosophers may fi nd a subset of the chapters of interest, or work through the chapters in a different order. Maria Keet is an Associate Professor with the Department of Computer Science, University of Cape Town, South Africa. She received her PhD in Computer Science in 2008 at the KRDB Research Centre, Free University of Bozen-Bolzano, Italy. Her research focus is on knowledge engineering with ontologies and Ontology, and their interaction with natural language and conceptual data modelling, which has resulted in over 100 peer-reviewed publications. She has developed and taught multiple courses on ontology engineering and related courses at various universities since 2009.
Author: Charlotte Valeur Publisher: Routledge ISBN: 1000431983 Category : Business & Economics Languages : en Pages : 274
Book Description
The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license. Being a good board member is not about knowing everything; it is about asking the right questions and challenging appropriately. Effective Directors: The Right Questions To Ask (QTA) is a reference book for board members and executives globally to support them in their work. With chapters written by senior company board members and respected figures in corporate governance, the questions have been drawn together to offer food for thought and useful prompts that take boards beyond operational discussions. The book clearly presents key areas to be considered by the board (there are over 50 in total) and range from board composition, to data security, diversity and inclusion, and succession planning. The questions are ones that boards, in any organisation, should be asking themselves, their fellow board members, service providers, executives, and other stakeholders to ensure that the right issues are raised, transparency and effective oversight are achieved, and the board is fulfilling its role in governing the organisation. In addition to being invaluable for board members, the book is also a very useful tool for executives in understanding the kind of questions their board members are likely to ask, and the kind of questions that should be asked and discussed in the boardroom.
Author: Timothy Jung Publisher: Springer Nature ISBN: 3030378691 Category : Business & Economics Languages : en Pages : 397
Book Description
This book features the latest research in the area of immersive technologies, presented at the 5th International Augmented and Virtual Reality Conference, held in Munich, Germany in 2019. Bridging the gap between academia and industry, it presents the state of the art in augmented reality (AR) and virtual reality (VR) technologies and their applications in various industries such as marketing, education, healthcare, tourism, events, fashion, entertainment, retail and the gaming industry. The volume is a collection of research papers by prominent AR and VR scholars from around the globe. Covering the most significant topics in the field of augmented and virtual reality and providing the latest findings, it is of interest to academics and practitioners alike.
Author: Paulo Blikstein Publisher: ISBN: 9780989151191 Category : Activity programs in education Languages : en Pages : 158
Book Description
The FabLearn Fellows share inspirational ideas from their learning spaces, assessment strategies and recommended projects across a broad range of age levels. Illustrated with color photos of real student work, the Fellows take you on a tour of the future of learning, where children make sense of the world by making things that matter.
Author: Jeremy Rifkin Publisher: Tarcher ISBN: Category : Business & Economics Languages : en Pages : 412
Book Description
The most significant domestic issue of the 2004 elections is unemployment. The United States has lost nearly three million jobs in the last ten years, and real employment hovers around 9.1 percent. Only one political analyst foresaw the dark side of the technological revolution and understood its implications for global employment: Jeremy Rifkin. The End of Workis Jeremy Rifkin's most influential and important book. Now nearly ten years old, it has been updated for a new, post-New Economy era. Statistics and figures have been revised to take new trends into account. Rifkin offers a tough, compelling critique of the flaws in the techniques the government uses to compile employment statistics. The End of Workis the book our candidates and our country need to understand the employment challenges-and the hopes-facing us in the century ahead.
Author: Eric S. Raymond Publisher: Addison-Wesley Professional ISBN: 0132465884 Category : Computers Languages : en Pages : 560
Book Description
The Art of UNIX Programming poses the belief that understanding the unwritten UNIX engineering tradition and mastering its design patterns will help programmers of all stripes to become better programmers. This book attempts to capture the engineering wisdom and design philosophy of the UNIX, Linux, and Open Source software development community as it has evolved over the past three decades, and as it is applied today by the most experienced programmers. Eric Raymond offers the next generation of "hackers" the unique opportunity to learn the connection between UNIX philosophy and practice through careful case studies of the very best UNIX/Linux programs.
Author: Woodrow Barfield Publisher: Cambridge University Press ISBN: 1108663184 Category : Law Languages : en Pages : 1327
Book Description
Algorithms are a fundamental building block of artificial intelligence - and, increasingly, society - but our legal institutions have largely failed to recognize or respond to this reality. The Cambridge Handbook of the Law of Algorithms, which features contributions from US, EU, and Asian legal scholars, discusses the specific challenges algorithms pose not only to current law, but also - as algorithms replace people as decision makers - to the foundations of society itself. The work includes wide coverage of the law as it relates to algorithms, with chapters analyzing how human biases have crept into algorithmic decision-making about who receives housing or credit, the length of sentences for defendants convicted of crimes, and many other decisions that impact constitutionally protected groups. Other issues covered in the work include the impact of algorithms on the law of free speech, intellectual property, and commercial and human rights law.
Author: Mathew Salvaris
Author: Mathew Salvaris
Author: Natalie Wexler
Author: C. Maria Keet
Author: Charlotte Valeur
Author: UNESCO
Author: Timothy Jung
Author: Paulo Blikstein
Author: Jeremy Rifkin
Author: Eric S. Raymond
Author: Woodrow Barfield