Language Technology

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.

When you need a language model to respond accurately and quickly about a specific field of knowledge, the sprawling capacity of an LLM may hurt more than it helps. This book teaches you to build generative AI models optimized for specific fields.

Bloomsbury presents The Hundred Languages of Children, edited by Carolyn Edwards, Lella Gandini, and George Forman, read by Christopher Ragland. Why does the city of Reggio Emilia in northern Italy feature one of the best public systems of early education in the world? This book documents the...

Looking at the emergence of generative AI, Language Machines presents a new theory of meaning in language and computation, arguing that humanistic scholarship misconstrues how large language models (LLMs) function. Seeing LLMs as a convergence of computation and language, Leif Weatherby contends that AI does not simulate cognition, as widely believed, but rather creates culture.

From hospital and police codes to Cockney slang, spoken codes can be both helpful and entertaining. Learn the history behind some of today’s most useful and popular codes, and then have fun creating a language all your own.

Becoming a solutions architect requires a hands-on approach, and this edition of the Solutions Architect's Handbook brings exactly that. This audiobook will teach you how to create robust, scalable, and fault-tolerant solutions and next-generation architecture designs in a cloud environment. It will also help you build effective product strategies for your business and implement them from start to finish.

Technical knowledge alone isn't enough - increase your software development income by leveling up your soft skills Early in his software developer career, John Sonmez discovered that technical knowledge alone isn't enough to break through to the next income level - developers need "soft skills" like the ability to learn new technologies just in time, communicate clearly with management and consulting clients, negotiate a fair hourly rate, and unite teammates and coworkers in working toward a common goal.

To score a job in data science, machine learning, computer graphics, and cryptography, you need to bring strong math skills to the party. Math for Programmers teaches the math you need for these hot careers, concentrating on what you need to know as a developer. Filled with lots of helpful graphics and more than 200 exercises and mini-projects, this book unlocks the door to interesting - and lucrative! - careers in some of today’s hottest programming fields about the technology.

The bestselling book on Python deep learning, now covering generative AI, Keras 3, PyTorch, and JAX! Deep Learning with Python (Third Edition) puts the power of deep learning in your hands. This new edition includes the latest Keras and TensorFlow features, generative AI models, and added coverage of PyTorch and JAX. Learn directly from the creator of Keras and step confidently into the world of deep learning with Python.

Linguistics falls in the gap between arts and science, on the edges of which the most fascinating discoveries and the most important problems are found. Rather than following the conventional organization of many contemporary introductions to the subject, the author of this stimulating guide begins his discussion with the oldest, "arts" end of the subject and moves chronologically through to the newest research - the "science" aspects.

30 Days to a More Powerful Vocabulary quickly became a bestseller in its category back in 2015. Now, in this updated and revised edition—which now contains the 700 most important words you need to master—you'll quickly learn why this title has been such a positive impact in the personal and professional lives of tens of thousands in the English-speaking world.

This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.

Real-World Machine Learning will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics. By working through immediately relevant examples in Python, you'll build skills in data acquisition and modeling, classification, and regression. You'll also explore the most important tasks like model validation, optimization, scalability, and real-time streaming. When you're done, you'll be ready to successfully build, deploy, and maintain your own powerful ML systems.

Brought to you by Penguin. In Future Words, Dominique Chen invites readers into a life shaped by multiple languages, cultures and disciplines. Born in Tokyo, Chen grew up moving between Japan, France and the United States, speaking several languages in overlapping ways. Here his journey – from...

This program is read by the author and includes a bonus interview with the author. “Engaging and entertaining, this work is essential listening for anyone following the potentially explosive development of AI.” —AudioFile Shortlisted for the Women’s Prize for Nonfiction A riveting story...

Are you ready to turn your gaming passion into reality? This book is your ultimate guide to mastering Godot game development. No prior experience needed! Dive into the exciting world of Godot and learn step-by-step how to design captivating 2D and 3D environments, program engaging gameplay mechanics, and create stunning visual effects. Imagine building your dream games and impressing friends and potential employers with your skills. This book series equips you with the essential knowledge and hands-on practice to become a confident Godot developer. Don't miss out on this opportunity!

Terrence Sejnowski offers a nuanced exploration of large language models (LLMs) like ChatGPT and what their future holds. How should we go about understanding LLMs? Do these language models truly understand what they are saying? Or is it possible that what appears to be intelligence in LLMs may be a mirror that merely reflects the intelligence of the interviewer? In this book, Sejnowski, a pioneer in computational approaches to understanding brain function, answers all our urgent questions about this astonishing new technology.

Whether you're a complete beginner or a systems admin looking to level up, Beginner’s Guide to PowerShell Scripting is your one-stop resource for learning how to automate Windows tasks, manage Active Directory, and even interact with cloud services like AWS and Azure using nothing but PowerShell.

Ever tried learning Python, only to get lost in tutorials that feel too technical, too fast, or just plain confusing? You're not alone. This friendly, step-by-step beginner's guide makes Python simple, practical, and surprisingly fun even if you've never written a single line of code. With 35+ hands-on exercises and 6 real world projects, you'll go from complete beginner to confident Python programmer. No tech background required. Just 10 minutes a day.

From first principles to production-ready code, "Latency" teaches you how to make your software faster at every layer of the stack. You’ll learn what latency really is, how it differs from bandwidth, and why it matters for user experience. Then, guided by practical examples, you’ll apply Little’s Law, design lock-free algorithms, and architect caching systems that scale. You’ll discover how your code runs differently on distributed systems, databases, and operating systems, and understand the common latency-causing issues in each situation.