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Hardware Security : A Hands-on Learning Approach
Hardware Security: A Hands-On Learning Approach provides a broad, comprehensive and practical overview of hardware security that encompasses all levels of the electronic hardware infrastructure.It covers basic concepts like advanced attack techniques and countermeasures that are illustrated through theory, case studies and well-designed, hands-on laboratory exercises for each key concept.The book is ideal as a textbook for upper-level undergraduate students studying computer engineering, computer science, electrical engineering, and biomedical engineering, but is also a handy reference for graduate students, researchers and industry professionals.For academic courses, the book contains a robust suite of teaching ancillaries. Users will be able to access schematic, layout and design files for a printed circuit board for hardware hacking (i.e. the HaHa board) that can be used by instructors to fabricate boards, a suite of videos that demonstrate different hardware vulnerabilities, hardware attacks and countermeasures, and a detailed description and user manual for companion materials.
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Learning Technology : A Complete Guide for Learning Professionals
Learning technology is now an integral part of all learning and development activity.Understanding what these technologies are, how they work and their aims is key to successful L&D practice.Learning Technology is written by a leading voice in the learning tech industry.It explains the history of learning tech, its aims and how it is the fundamental technology that has driven learning, culture and progress.This book covers everything from writing to printing, broadcast media, teaching technology as well as detailed discussion of learning management systems (LMSs), learning experience platforms (LXPs) and learning record stores (LRSs).It also highlights the importance of data and analytics and covers the latest developments in the learning technology space including artificial intelligence, virtual reality and the metaverse.Learning Technology helps L&D professionals assess and better understand learning platforms and teaching technologies, both past and present. it supports this by evaluating the benefits of each technology.It also provides insights into the future of work and learning and offers a comprehensive overview and detailed exploration of the topic.
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Deep Learning at Scale : At the Intersection of Hardware, Software, and Data
Bringing a deep-learning project into production at scale is quite challenging.To successfully scale your project, a foundational understanding of full stack deep learning, including the knowledge that lies at the intersection of hardware, software, data, and algorithms, is required. This book illustrates complex concepts of full stack deep learning and reinforces them through hands-on exercises to arm you with tools and techniques to scale your project.A scaling effort is only beneficial when it's effective and efficient.To that end, this guide explains the intricate concepts and techniques that will help you scale effectively and efficiently. You'll gain a thorough understanding of:How data flows through the deep-learning network and the role the computation graphs play in building your modelHow accelerated computing speeds up your training and how best you can utilize the resources at your disposalHow to train your model using distributed training paradigms, i.e., data, model, and pipeline parallelismHow to leverage PyTorch ecosystems in conjunction with NVIDIA libraries and Triton to scale your model trainingDebugging, monitoring, and investigating the undesirable bottlenecks that slow down your model trainingHow to expedite the training lifecycle and streamline your feedback loop to iterate model developmentA set of data tricks and techniques and how to apply them to scale your training modelHow to select the right tools and techniques for your deep-learning projectOptions for managing the compute infrastructure when running at scale
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Deep Learning at Scale: At the Intersection of Hardware, Software, and Data
Deep Learning at Scale: At the Intersection of Hardware, Software, and Data
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How do I start learning about hardware?
To start learning about hardware, you can begin by familiarizing yourself with the basic components of a computer, such as the CPU, motherboard, RAM, and storage devices. You can also explore different types of hardware, such as graphics cards, power supplies, and cooling systems. Additionally, you can consider enrolling in online courses, reading books, or watching tutorials to gain a deeper understanding of hardware and its functions. Finally, hands-on experience, such as building your own computer or troubleshooting hardware issues, can also be a valuable way to learn about hardware.
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Where should I start learning IT security?
A good place to start learning IT security is by gaining a foundational understanding of basic networking concepts, operating systems, and programming languages. You can then move on to studying specific areas of IT security such as cryptography, ethical hacking, and security protocols. Additionally, pursuing certifications like CompTIA Security+ or Certified Information Systems Security Professional (CISSP) can help you gain credibility and expertise in the field. Finally, staying updated on the latest trends and threats in IT security through online resources, forums, and attending conferences can further enhance your knowledge and skills.
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Is learning programming and software development very challenging?
Learning programming and software development can be challenging for some people, as it requires logical thinking, problem-solving skills, and attention to detail. However, with dedication, practice, and the right resources, it is definitely achievable. Breaking down complex concepts into smaller, more manageable parts and seeking help from online tutorials, courses, and communities can make the learning process easier and more enjoyable. Ultimately, the level of challenge will vary depending on the individual's background, experience, and learning style.
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What learning objectives can be set in relation to communication?
Learning objectives related to communication can include improving active listening skills, developing effective verbal and nonverbal communication, understanding different communication styles, and enhancing interpersonal communication skills. Additionally, objectives can focus on improving written communication, such as crafting clear and concise messages, and developing the ability to adapt communication to different audiences and contexts. Overall, the goal is to help individuals become more effective and confident communicators in both personal and professional settings.
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The Architecture of Computer Hardware, Systems Software, and Networking : An Information Technology Approach
The Architecture of Computer Hardware, Systems Software and Networking is designed help students majoring in information technology (IT) and information systems (IS) understand the structure and operation of computers and computer-based devices.Requiring only basic computer skills, this accessible textbook introduces the basic principles of system architecture and explores current technological practices and trends using clear, easy-to-understand language.Throughout the text, numerous relatable examples, subject-specific illustrations, and in-depth case studies reinforce key learning points and show students how important concepts are applied in the real world. This fully-updated sixth edition features a wealth of new and revised content that reflects today’s technological landscape. Organized into five parts, the book first explains the role of the computer in information systems and provides an overview of its components.Subsequent sections discuss the representation of data in the computer, hardware architecture and operational concepts, the basics of computer networking, system software and operating systems, and various interconnected systems and components.Students are introduced to the material using ideas already familiar to them, allowing them to gradually build upon what they have learned without being overwhelmed and develop a deeper knowledge of computer architecture.
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Learning eBPF : Programming the Linux Kernel for Enhanced Observability, Networking, and Security
What is eBPF? With this revolutionary technology, you can write custom code that dynamically changes the way the kernel behaves.It's an extraordinary platform for building a whole new generation of security, observability, and networking tools. This practical book is ideal for developers, system administrators, operators, and students who are curious about eBPF and want to know how it works.Author Liz Rice, chief open source officer with cloud native networking and security specialists Isovalent, also provides a foundation for those who want to explore writing eBPF programs themselves. With this book, you will:Learn why eBPF has become so important in the past couple of yearsWrite basic eBPF code, and manipulate eBPF programs and attach them to eventsExplore how eBPF components interact with Linux to dynamically change the operating system's behaviorLearn how tools based on eBPF can instrument applications without changes to the apps or their configurationDiscover how this technology enables new tools for observability, security, and networking
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Learning eBPF: Programming the Linux Kernel for Enhanced Observability, Networking, and Security
Learning eBPF: Programming the Linux Kernel for Enhanced Observability, Networking, and Security
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Teaching and Learning Communication Skills in Medicine
This book and its companion, Skills for Communicating with Patients, Second Edition, provide a comprehensive approach to improving communication in medicine.Fully updated and revised, and greatly expanded, this new edition examines how to construct a skills curricular at all levels of medical education and across specialties, documents the individuals skills that form the core content of communication skills teaching programmes, and explores in depth the specific teaching, learning and assessment methods that are currently used within medical education.Since their publication, the first edition of this book and its companionSkills for Communicating with Patients, have become standards texts in teaching communication skills throughout the world, 'the first entirely evidence-based textbooks on medical interviewing.It is essential reading for course organizers, those who teach or model communication skills, and program administrators.
Price: 52.99 £ | Shipping*: 0.00 £
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What do software developers think of the following learning path?
Software developers generally have a positive view of the learning path as it provides a structured approach to gaining knowledge and skills in the field. They appreciate the focus on foundational concepts, followed by more advanced topics, which helps in building a strong understanding of software development. The emphasis on practical projects and hands-on experience is also well-received, as it allows developers to apply their learning in real-world scenarios. Overall, software developers see the learning path as a valuable resource for both beginners looking to enter the field and experienced professionals seeking to expand their expertise.
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Why deep learning compared to machine learning?
Deep learning is a subset of machine learning that uses neural networks to learn from data. It is more powerful than traditional machine learning techniques because it can automatically discover and learn from complex patterns and features in the data without the need for explicit feature engineering. Deep learning can handle large amounts of data and is capable of learning from unstructured data such as images, audio, and text, making it more versatile and effective for a wide range of applications. Additionally, deep learning models can continuously improve their performance with more data, making them more adaptable and scalable compared to traditional machine learning models.
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Software or hardware?
When deciding between software and hardware, it ultimately depends on the specific needs and goals of the user. Software provides flexibility, scalability, and ease of updates, making it ideal for tasks that require frequent changes or updates. On the other hand, hardware offers reliability, security, and performance for tasks that require high processing power or data storage. It is important to carefully evaluate the requirements of the project or task at hand to determine whether software or hardware is the best solution.
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'Software or hardware?'
The choice between software and hardware depends on the specific needs and goals of the user. Software provides flexibility and can be easily updated or customized, while hardware offers physical components that may be more reliable and provide better performance for certain tasks. Ultimately, the decision between software and hardware should be based on the specific requirements of the user and the intended use of the technology.
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