Download Fundamentals of Software Engineering (ER) by Nathaniel Schutta (.ePUB)

Fundamentals of Software Engineering: From Coder to Engineer (2024-09-19: Fourth Early Release) by Nathaniel Schutta, Dan Vega
Requirements: .ePUB reader, 10 MB
Overview: What do you need to know to move from developer to senior engineer? Undergraduate curricula and bootcamps may teach the fundamentals of algorithms and writing code, but they rarely cover topics vital to your success as a software engineer. With this practical book, you’ll learn the skills you need to succeed and thrive. Authors Nathaniel Schutta and Jakub Pilimon guide your journey with pointers to deep dives into specific topic areas. To understand the skills that really matter as a software engineer, this is the guide you’ll want to read the first week at your first job. It also serves as a handy reminder when you move to a new organization or to a new position in your current organization. Ultimately, this book is targeted at new developers, and we wrote it with them foremost in our minds. We hope this book will show you the full picture of what it means to be more than a “coder”, to evolve into a software engineer and, more importantly, to help your career advancement. But it isn’t just newly minted developers who benefit from mastering the fundamentals. This book will also help more seasoned developers advance beyond their first job and grow their career to a senior role.
Genre: Non-Fiction > Tech & Devices

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Download Homomorphic Encryption for Data Science (HE4DS) by Allon Adir (.PDF)+

Homomorphic Encryption for Data Science (HE4DS) by Allon Adir, Ehud Aharoni, Nir Drucker, Ronen Levy
Requirements: .ePUB, .PDF reader, 34.0 MB
Overview: This book provides basic knowledge required by an application developer to understand and use the Fully Homomorphic Encryption (FHE) technology for privacy preserving Data-Science applications. The authors present various techniques to leverage the unique features of FHE and to overcome its characteristic limitations. Homomorphic encryption (HE) is a cryptographic primitive that provides unique security guarantees in the privacy enhancing technologies (PETs) ecosystem. HE is a special type of encryption that allows computations to be performed on encrypted data. For example, it enables additions, multiplications, or both on ciphertexts, where the resulting ciphertext can be decrypted to have the same value as if the mathematical operations were performed directly on the encrypted data. This property is called homomorphism, hence the name of the HE primitive. This book aims to simplify the FHE world for those who are interested in privacy preserving Data Science tasks, and for an audience that does not necessarily have a deep cryptographic background, including undergraduate and graduate-level students in Computer Science, and data scientists who plan to work on private data and models.
Genre: Non-Fiction > Tech & Devices

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Download Web Application PenTesting by Yassine Maleh (.ePUB)+

Web Application PenTesting: A Comprehensive Guide for Professionals by Yassine Maleh
Requirements: .ePUB, .PDF reader, 71.5 MB
Overview: This is an essential resource for navigating the complex, high-stakes world of cybersecurity. It bridges the gap between foundational cybersecurity knowledge and its practical application in web application security. Designed for professionals who may lack formal training in cybersecurity or those seeking to update their skills, this book offers a crucial toolkit for defending against the rising tide of cyber threats. As web applications become central to our digital lives, understanding and countering web-based threats is imperative for IT professionals across various sectors. This book provides a structured learning path from basic security principles to advanced penetration testing techniques, tailored for both new and experienced cybersecurity practitioners. “Web Application PenTesting” is more than a technical manual—it is a guide designed to equip its readers with the analytical skills and knowledge to make informed security decisions, ensuring robust protection for digital assets in the face of evolving cyber threats. Whether you are an engineer, project manager, or technical leader, this book will empower you to fortify your web applications and contribute effectively to your organization’s cybersecurity efforts.
Genre: Non-Fiction > Tech & Devices

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Download Blockchain and IoT based Smart Healthcare by L. Ashok Kumar (.PDF)+

Blockchain and IoT based Smart Healthcare Systems by L. Ashok Kumar, D. Karthika Renuka, Sonali Agarwal, Sheng-Lung Peng
Requirements: .ePUB, .PDF reader, 18.0 MB
Overview: New technologies like blockchain and Internet of Things (IoT) are constantly improving the state-of-the-art in healthcare services. The trend of keeping medical records in digital formats is also increasing the reliance of modern healthcare service providers on these new technologies. This edited book brings a collection of reviews on blockchain and IoT technologies that are driving innovation in digital and smart healthcare systems. The Internet of Things (IoT) is a network of wireless systems that are connected to one another and networked digital devices like sensors and internet devices that can collect, send, and store data without the assistance of a human or computer. The Internet of Things (IoT) promises a number of benefits for streamlining and enhancing the delivery of healthcare, including the capacity to diagnose, treat, and monitor patients both within and outside of hospitals. There are more such advantages of using IoT like remote monitoring, medical data accessibility, improved treatment management, and instant and reliable treatment. The editors bring an academic and practical approach to assist professionals and readers in understanding computerized healthcare solutions. 16 referenced chapters provide knowledge about fundamental framework, research insights, and empirical evidence for effective smart healthcare applications. The chapters also cover benefits and challenges of specific smart health frameworks, giving an informative overview of the subject.
Genre: Non-Fiction > Tech & Devices

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Download AI Literacy Fundamentals by Ben Jones (.ePUB)

AI Literacy Fundamentals by Ben Jones
Requirements: .ePUB reader, 10 MB
Overview: Feeling overwhelmed by AI? It’s not you—it’s the breakneck speed of technological progress. To quickly get into the AI conversation, you need a clear and simple foundation of knowledge to build on. This book is a friendly primer on the basic concepts of AI, how it’s already snuck into our daily lives, and what we need to know to prepare for the future. Machine Learning (ML) is an umbrella term describing the study and use of different types of statistical algorithms that we can apply to data sets in order to learn from the patterns in those data sets how to accomplish specific tasks. When we apply a Machine Learning algorithm to a data set to learn its patterns, we say that we are training a model. Deep Learning is a special branch of Machine Learning that involves a specific family of artificial neural networks: deep neural networks (DNN). DNNs have changed the world of AI, and in so doing they have changed the world we live in. Any neural network that contains two or more hidden layers is considered a deep neural network. Unsurprisingly, then, a neural network with a single hidden layer is sometimes referred to as a shallow neural network. Furthermore, the number of hidden layers corresponds to the depth of the deep neural network. To wrap up our own study of Deep Learning and neural networks, I’d like to instead consider a few different types of deep neural networks that have led to breakthrough capabilities in the fields of computer vision and natural language processing. The first type is the convolutional neural network (CNN), sometimes called the ConvNet.
Genre: Non-Fiction > Tech & Devices

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Contents:
Preface
Introduction
PART 1: Introduction to AI
Chapter 1: What Is AI?
Chapter 2: A Brief History of AI
PART 2: AI Technologies
Chapter 3: Machine Learning Basics
Chapter 4: A Primer on Deep Learning
PART 3: Important Considerations in AI
Chapter 5: AI Benefits and Concerns
Chapter 6: AI Myths and Truths
Conclusion
Appendices
Glossary

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