Category: Tech & Devices

Introduction to Computer Organization: ARM Edition: An Under-the-Hood Look at Hardware and ARM A64 Assembly by Robert G. Plantz
Requirements: .ePUB reader, 27.5 MB
Overview: The ARM edition of Introduction to Computer Organization will show you how high-level code connects to computer hardware through ARM 64-bit assembly language. You’ll learn ARM assembly language from the ground up, and all you’ll need is some basic experience with programming. As you grow to understand ARM’s 64-bit design (from first principles), you’ll develop the skills to write more efficient, optimized code. Get hands-on experience programming the GPIO on Raspberry Pi 3, 4, and 5 in assembly. Use GNU programming tools to examine code generated from C and C++ by the compiler, write assembly programs from scratch, and use the debugger to visualize execution, inspect registers, and understand machine-level operations. Each chapter includes practical “Your Turn” exercises to reinforce key concepts and build real-world programming skills. Whether you’re optimizing code performance, developing embedded systems, or simply curious about how computers execute your programs, this guide provides deep insight into how software and hardware interact to bring programs to life.
Genre: Non-Fiction > Tech & Devices



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The Art of ARM Assembly, Volume 1 by Randall Hyde
Requirements: .ePUB reader, 17.2 MB
Overview: This book is the latest in Randall Hyde’s iconic series on assembly language programming. A comprehensive masterclass on 64-bit ARM, it guides you through the instruction set for the increasingly popular 64-bit ARM CPU, teaching you to translate high-level language operations into assembly language, write powerful programs unique to ARM, and handle the development of large software projects easily. This book’s “quick-start” chapter lets you hit the ground running, showing you how to begin writing simple programs right away. After learning basic 64-bit ARM architecture and syntax for the GNU assembler, Hyde goes in-depth on the fundamentals of machine organization, computer data representation and operations, and memory access. After building a strong foundational knowledge for mastering GAS, control structures, and arithmetic functions, in later chapters you’ll be ready to dive into advanced ARM programming—and that’s when the real fun begins. Full of illuminating illustrations, portable source code, and hands-on exercises that test your skills, The Art of ARM Assembly is an essential reference guide from the world’s foremost expert on the subject.
Genre: Non-Fiction > Tech & Devices



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Python Natural Language Processing Cookbook: Over 60 recipes for building powerful NLP solutions using Python and LLM libraries, 2nd Edition by Zhenya Antić and Saurabh Chakravarty
Requirements: .PDF reader, 7 mb
Overview: Harness the power of Natural Language Processing to overcome real-world text analysis challenges with this recipe-based roadmap written by two seasoned NLP experts with vast experience transforming various industries with their NLP prowess.

You’ll be able to make the most of the latest NLP advancements, including large language models (LLMs), and leverage their capabilities through Hugging Face transformers. Through a series of hands-on recipes, you’ll master essential techniques such as extracting entities and visualizing text data. The authors will expertly guide you through building pipelines for sentiment analysis, topic modeling, and question-answering using popular libraries like spaCy, Gensim, and NLTK.

You’ll also learn to implement RAG pipelines to draw out precise answers from a text corpus using LLMs. This second edition expands your skillset with new chapters on cutting-edge LLMs like GPT-4, Natural Language Understanding (NLU), and Explainable AI (XAI)—fostering trust and transparency in your NLP models.

By the end of this book, you’ll be equipped with the skills to apply advanced text processing techniques, use pre-trained transformer models, build custom NLP pipelines to extract valuable insights from text data to drive informed decision-making.
Genre: Non-Fiction > Tech & Devices



• Understand fundamental NLP concepts along with their applications using examples in Python
• Classify text quickly and accurately with rule-based and supervised methods
• Train NER models and perform sentiment analysis to identify entities and emotions in text
• Explore topic modeling and text visualization to reveal themes and relationships within text
• Leverage Hugging Face and OpenAI LLMs to perform advanced NLP tasks
• Use question-answering techniques to handle both open and closed domains
• Apply XAI techniques to better understand your model predictions

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RAG-Driven Generative AI: Build custom retrieval augmented generation pipelines with LlamaIndex, Deep Lake, and Pinecone by Denis Rothman
Requirements: .PDF reader, 20 mb
Overview: RAG-Driven Generative AI provides a roadmap for building effective LLM, computer vision, and generative AI systems that balance performance and costs.

This book offers a detailed exploration of RAG and how to design, manage, and control multimodal AI pipelines. By connecting outputs to traceable source documents, RAG improves output accuracy and contextual relevance, offering a dynamic approach to managing large volumes of information. This AI book shows you how to build a RAG framework, providing practical knowledge on vector stores, chunking, indexing, and ranking. You’ll discover techniques to optimize your project’s performance and better understand your data, including using adaptive RAG and human feedback to refine retrieval accuracy, balancing RAG with fine-tuning, implementing dynamic RAG to enhance real-time decision-making, and visualizing complex data with knowledge graphs. You’ll be exposed to a hands-on blend of frameworks like LlamaIndex and Deep Lake, vector databases such as Pinecone and Chroma, and models from Hugging Face and OpenAI.

By the end of this book, you will have acquired the skills to implement intelligent solutions, keeping you competitive in fields from production to customer service across any project.
Genre: Non-Fiction > Tech & Devices



• Scale RAG pipelines to handle large datasets efficiently
• Employ techniques that minimize hallucinations and ensure accurate responses
• Implement indexing techniques to improve AI accuracy with traceable and transparent outputs
• Customize and scale RAG-driven generative AI systems across domains
• Find out how to use Deep Lake and Pinecone for efficient and fast data retrieval
• Control and build robust generative AI systems grounded in real-world data
• Combine text and image data for richer, more informative AI responses

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Securing Industrial Control Systems and Safety Instrumented Systems: A practical guide for safeguarding mission and safety critical systems by Jalal Bouhdada
Requirements: .PDF reader, 27 mb
Overview: As modern process facilities become increasingly sophisticated and vulnerable to cyber threats, securing critical infrastructure is more crucial than ever. This book offers an indispensable guide to industrial cybersecurity and Safety Instrumented Systems (SIS), vital for maintaining the safety and reliability of critical systems and protecting your operations, personnel, and assets.

Starting with SIS design principles, the book delves into the architecture and protocols of safety networks. It provides hands-on experience identifying vulnerabilities and potential attack vectors, exploring how attackers might target SIS components. You’ll thoroughly analyze Key SIS technologies, threat modeling, and attack techniques targeting SIS controllers and engineer workstations. The book shows you how to secure Instrument Asset Management Systems (IAMS), implement physical security measures, and apply integrated risk management methodologies. It also covers compliance with emerging cybersecurity regulations and industry standards worldwide.

By the end of the book, you’ll have gained practical insights into various risk assessment methodologies and a comprehensive understanding of how to effectively protect critical infrastructure.
Genre: Non-Fiction > Tech & Devices



• Explore SIS design, architecture, and key safety network protocols
• Implement effective defense-in-depth strategies for SISs
• Evaluate and mitigate physical security risks in industrial settings
• Conduct threat modeling and risk assessments for industrial environments
• Navigate the complex landscape of industrial cybersecurity regulations
• Understand the impact of emerging technologies such as AI/ML, remote access, the cloud, and IIoT on SISs
• Enhance collaboration and communication among stakeholders to strengthen SIS cybersecurity

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