Machine Learning Language

PSYCHOLINGUISTICS AND NEUROLINGUISTICS --- Decode the secrets of language and the brain with this guide to the cognitive and neural mechanisms of human communication. This book provides a great exploration of the cognitive and neural mechanisms at the foundations of language processing, acquisition, and evolution. Integrating insights from psychology, neuroscience, and linguistic theory, it illuminates the complexities of human language. Here are the key areas covered: Neural Basis of Language Acquisition - Examines critical periods and brain adaptability in learning new languages. - ...

A collection of shockingly prescient stories covering topics from aliens to AI, including some that have never before been seen, from the New York Times best-selling author of the Silo trilogy Hugh Howey is known for crafting riveting and immersive page-turners of boundless imagination, spawning...

Thinking about learning to code but not sure where to start? Are you looking for a Programming Language that is fun, extremely versatile, and powerful? Do you want to start with a language that “speaks” exactly like you? If yes, you should start learning Python right now! Python is one of the most versatile high-level programming languages ever developed. Rather than having to jump into strict syntax rules, Python reads like English and is simple to understand for someone new to programming. This allows you to obtain a basic knowledge of coding practices without having to obsess over ...

A clear, structured guide to how large language models work. This book provides a straightforward and well-organized introduction to the technology behind large language models (LLMs), such as ChatGPT. It explains how these models handle language, how they’re built using transformers and neural networks, and how they are trained on massive amounts of data. Designed for readers with a basic understanding of programming or math, it avoids unnecessary complexity while staying technically accurate. You’ll learn: What it means to “model” language How transformers and attention mechanisms...

Artificial Intelligence Explained is a clear, practical, and beginner-friendly guide to understanding the fascinating world of AI. Whether you're a student, professional, teacher, entrepreneur, or simply curious about Artificial Intelligence, this book explains complex concepts in simple language using everyday examples and easy-to-understand analogies. You'll learn what Artificial Intelligence is, how it differs from traditional programming, and how technologies such as Machine Learning, Deep Learning, Neural Networks, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), ...

Ned discovers a hard truth about his past but will it also endanger the future of the universe? After reconnecting with an old acquaintance, Hank’s AI companion is on the hunt for more information and it just might bring them closer than ever to Twain. But the old Enemy AI has a few tricks up his sleeve. And while they pursue the villain, the crew also find themselves in the crosshairs. Having angered a shadowy sect, the hunters become the hunted.

We are living through a revolution in artificial intelligence that is not slowing down. This major shift is based on simple mathematics, some of which goes back centuries: linear algebra and calculus, the stuff of eighteenth-century mathematics. Indeed by the mid-1850s, a lot of the groundwork was all done. In this enlightening book, Anil Ananthaswamy explains the fundamental maths behind AI, which suggests that the basics of natural and artificial intelligence might follow the same mathematical rules.

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.

All you need to know to get started with chatbots. From a chatbot builder and industry expert. We are in the middle of a chatbot revolution that will be extremely important to human culture. Chatbots are already everywhere. As some of the chapters in this book detail, they are present in e-commerce, banking, health care, education and libraries. This book consists of two sections. First of all, a run through the history of chatbots, some thoughts about the future, and an examination of how chatbots are changing cultural activity in all sorts of spheres. This section addresses Machine ...

In this audiobook, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general listener, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context.

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.

"The Book on ChatGPT" is the definitive guide to understanding and utilizing one of the most groundbreaking developments in natural language processing. ChatGPT, a large language model trained by OpenAI, has revolutionized the way we think about chatbots and language models. This book provides an in-depth look at the technology behind ChatGPT, including its architecture, training, and generation of responses. Readers will learn about the evolution of chatbots, from early attempts at language modeling to the emergence of ChatGPT, as well as the limitations and challenges facing this ...

From the coauthor of Algorithms to Live By, an exploration of the quest to use mathematics to describe the ways we think, from its origins three hundred years ago to the ideas behind modern AI systems and the ways in which they still differ from human minds Everyone has a basic understanding of...

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.

Al doesn't have to be intimidating. It can be practical, simple, and genuinely useful - starting today. In AI BASICS: Your Personal Guide to Understanding and Using Artificial Intelligence, Skylah Tech strips away the confusion and gives you a clear, step-by-step path to using Al with confidence - no technical background required. Whether you're a business owner, educator, student, or simply curious about what Al can do, this friendly guide shows you how to turn Al into a helpful tool for everyday life and work. Inside, you'll learn how to: • Understand what Al actually is (without the ...

Transform your tech anxiety into logical problem-solving skills with this accessible guide to computer programming. Perfect for your daily commute, this encouraging audio experience replaces the mystery of software development with gentle, curiosity-driven learning. Stop feeling overwhelmed by...

Machine Learning for Absolute Beginners Third Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required.

Written for ML architects, ML and LLM engineers, and technical leads, with platform and SRE engineers as a strong secondary audience. Large language models fail in production in ways no load test anticipates. A retrieval-augmented pipeline answers confidently with fabricated citations when the vector index drifts. An agent loop burns a month of API budget in forty minutes because one tool call returned an unexpected schema. A prompt that cleared every red-team review gets hijacked by a malicious document in the first week of real traffic. Latency spikes vanish with no correlated metric ...

Master artificial intelligence and future-proof your career by decoding the hidden mechanics of generative tech. Perfect for your morning commute or focused learning sessions, this pragmatic listen cuts through the marketing hype. Whether you are a curious professional or a driven student, you...

If you want to learn about business intelligence and predictive analytics, then keep reading... Two manuscripts in one book: Business Intelligence: An Essential Beginner’s Guide to BI, Big Data, Artificial Intelligence, Cybersecurity, Machine Learning, Data Science, Data Analytics, Social Media and Internet Marketing Predictive Analytics: The Secret to Predicting Future Events Using Big Data and Data Science Techniques Such as Data Mining, Predictive Modelling, Statistics, Data Analysis, and Machine LearningIn the modern business world, the pace of action continues to quicken. Businesses ...