Computer Engineering

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.

Large language models (LLMs) and diffusion models such as ChatGPT and Stable Diffusion have unprecedented potential. Because they have been trained on all the public text and images on the internet, they can make useful contributions to a wide variety of tasks. And with the barrier to entry greatly reduced today, practically any developer can harness LLMs and diffusion models to tackle problems previously unsuitable for automation. With this book, you'll gain a solid foundation in generative AI, including how to apply these models in practice.

Salary surveys worldwide regularly place software architect in the top ten best jobs, yet no real guide exists to help developers become architects. Until now. This updated edition provides a comprehensive overview of software architecture's many aspects, with five new chapters covering the latest insights from the field. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming architecture, governance, data, generative AI, team topologies, and many other topics.

One of New York Magazine's best books on Silicon Valley! The true, behind-the-scenes history of the people who built Silicon Valley and shaped Big Tech in America Long before Margaret O'Mara became one of our most consequential historians of the American-led digital revolution, she worked in the...

What do you need to know to be a successful software engineer? Undergraduate curricula and bootcamps may teach the fundamentals of algorithms and writing code, but they rarely cover topics vital to your career advancement. With this practical book, you'll learn the skills you need to succeed and thrive. Authors Nathaniel Schutta and Dan Vega guide your journey with pointers to deep dives into specific topic areas that will help you understand the skills that really matter as a software engineer.

Data projects are an intrinsic part of an organization's technical ecosystem, but data engineers in many companies continue to work on problems that others have already solved. This hands-on guide shows you how to provide valuable data by focusing on various aspects of data engineering, including data ingestion, data quality, idempotency, and more.

Dave Thomas and Andy Hunt wrote the first edition of this influential book in 1999 to help their clients create better software and rediscover the joy of coding. These lessons have helped a generation of programmers examine the very essence of software development. Now, 20 years later, this new edition re-examines what it means to be a modern programmer. Topics range from personal responsibility and career development to architectural techniques for keeping your code flexible and easy to adapt and reuse.

At most technology companies, you'll reach Senior software engineer, the career level for software engineers, in five to eight years. At the career level, your company's career ladder won't require that you work towards the next promotion; being promoted further is an exception rather than expected. This is also when many engineers are first given an opportunity to move into engineering management.

Written by an expert who has created systems ranging from DNA scanners to children's toys, this book is ideal for intermediate and experienced programmers, no matter what platform you use. This expanded second edition includes new chapters on IoT and networked sensors, motors and movement, debugging, data handling strategies, and more.

Author Brendan Burns demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. This fully updated second edition includes new chapters on AI inference, AI training, and building robust systems for the real world.

The world is never finished catching up with Vaclav Smil. In his latest and perhaps most digestible book, Invention and Innovation, the prolific author—a favorite of Bill Gates—pens an insightful and fact-filled jaunt through the history of human invention. Impatient with the hype that so often accompanies innovation, Smil offers in this book a clear-eyed corrective to the overpromises that accompany everything from new cures for diseases to AI.

With this beginner’s handbook, you’ll learn how to use ChatGPT efficiently and create maximized results. Create natural, human-like conversations, being aware of its limitations and biases, and prepare for the artificial intelligence future.

Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges. Edited by Tobias Macey, this book presents ninety-seven concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data.

If you’re ready to save time, slash costs, and grow faster in a world moving at AI speed, this 3-in-1 guide is your ultimate shortcut. Whether you’re a solo entrepreneur, a leader navigating digital change, or just AI-curious, this audiobook distills the core systems behind AI Agents, Prompt Engineering, and Generative AI into a powerful, beginner-friendly format.

NEW YORK TIMES BESTSELLER Celebrated futurist Ray Kurzweil, hailed by Bill Gates as “the best person I know at predicting the future of artificial intelligence,” presents an “elaborate, smart, and persuasive” (The Boston Globe) view of the future course of human development...

The Internet and smartphone are just the latest in a 250-year-long cycle of disruption that has continuously changed the way we live, the way we work, and the way we interact. The coming Augmented Age, however, promises a level of disruption, behavioral shifts, and changes that are unparalleled. While consumers today are camping outside of an Apple store waiting to be one of the first to score a new Apple Watch or iPhone, the next generation of wearables will be able to predict if we're likely to have a heart attack and recommend a course of action.

From medieval robots and Boolean algebra to facial recognition, artificial neural networks, and adversarial patches, this fascinating history takes listeners on a vast tour through the world of artificial intelligence. Award-winning author Clifford A. Pickover explores the historic and current applications of AI in such diverse fields as computing, medicine, popular culture, mythology, and philosophy, and considers the enduring threat to humanity should AI grow out of control.

Discover a game-changing resource that caters to developers of all levels with Alice and Bob Learn Secure Coding. With a refreshing approach, the book offers analogies, stories of the characters Alice and Bob, real-life examples, technical explanations, and diagrams to break down intricate security concepts into digestible insights that you can apply right away.

Weighing in from the cutting-edge frontiers of science, today’s most forward-thinking minds explore the rise of “machines that think.” Stephen Hawking recently made headlines by noting, “The development of full artificial intelligence could spell the end of the human race.” Others...

企業の新人研修にも即使える「新人エンジニア向け教科書」第3版！低予算や短納期、多様化するIT技術など、システム開発を取り巻く環境は厳しくなる一方です。