Machine Learning Theory

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 bestselling author of the Silo trilogy Hugh Howey is known for crafting riveting and immersive page-turners of boundless imagination, spawning...

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. The book addresses real-life problems faced by practitioners on a daily basis and explains scientifically sound solutions using math, supported by code and examples. 

Master Artificial Intelligence in no time, even if you're a total beginner or a tech novice with our essential guide — Empower your career and simplify your daily life! Does the world of AI and machine learning seem intimidating, complex, or out of reach? Are you interested in diving into the realm of AI but have no idea where to start? Are you overwhelmed by endless information and complex terminologies that seem to make AI learning more challenging? You're not alone!

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.

"Quantum Machine Learning: From Theory to Near-Term Application" is a comprehensive, hands-on textbook designed to guide students and professionals from the fundamentals of classical machine learning and quantum computing to the practical implementation of cutting-edge hybrid quantum-classical algorithms. This book is meticulously structured to serve as both a university-level textbook and a professional's guide to this transformative field. Philosophy The core philosophy of this book is to bridge the gap between abstract theory and tangible application. We operate on the principle that the...

Unlock the Secrets of AI Deep Learning and Neural Networks: Empower Your Future in Minutes a Day! Ready to dive into the world of artificial intelligence, but don’t know where to start? Whether you're a student, developer, or curious learner, this book takes you on a journey to master deep learning concepts, demystify neural networks, and transform your skills into real-world impact—all at your own pace.

"Reinforcement Learning from Human Feedback: LLM alignment and post-training" helps you understand how modern AI models can be adapted to better match the needs and expectations of their users. Rather than surveying the vast field of reinforcement learning, elite AI researcher Nathan Lambert concentrates exclusively on RLHF and its immediate importance to post-training generative AI models.

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.

Dataset shift in machine learning is one of the most critical and underappreciated challenges in deploying ML models to production. Are your models silently failing? Whether you're working in healthcare, finance, NLP, or computer vision, distribution shifts in real-world data are inevitable. They erode performance, break assumptions, and destroy user trust. This book shows you how to detect, diagnose, and adapt. Dataset Shift in Machine Learning: Theory, Detection, Correction & Deployment Practices is a graduate-level technical guide designed for data scientists, ML engineers, and AI ...

Master advanced machine learning architecture and transform deep neural networks into clear, modular software systems. Move beyond abstract mathematical puzzles to discover a rigorous yet practical framework for structuring computation graphs and data pipelines. Perfect for your daily tech...

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...

Artificial intelligence (AI) and performance expert Josh Cavalier shares his in-depth knowledge and skills to help L&D professionals master learning experience design by using generative AI in their employee learning and development efforts. More than just a technical manual on generative AI or a collection of best prompt practices, this book explores how AI is reshaping jobs, skill development, and human performance. Cavalier provides his Learning and Development AI Ecosystem framework as a practical road map for integrating AI into your day-to-day work and your organization.

A "fascinating book" that will revolutionize our understanding of the brain and the future of AI (Financial Times) For all of neuroscience's advances, we've made little progress on its biggest question: How do simple cells in the brain create intelligence? Jeff Hawkins and his team discovered...

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.

Tame chaotic machine learning pipelines and build modular AI systems using the intuitive logic of category theory. Whether you are optimizing neural networks during your morning commute or deep in focused learning, this accessible guide replaces dense mathematical proofs with visual metaphors...

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.

Dive into the fascinating world of Chaos Theory with the groundbreaking new eBook, "Chaos Theory and its Applications"! This captivating guide will take you on a journey to explore the profound impact of chaos and its limitless applications across various domains. The book's 20 comprehensive chapters unravel the secrets of chaos, leaving no stone unturned. Whether you're a seasoned expert or a curious novice, this page-turner will provide you with an awe-inspiring reading experience. Embark on this enthralling escapade with an in-depth look at the Butterfly Effect, understanding how simple ...

Complex problem solving is at the very top of the list of essential skills for career progression in the modern world. But how problem solving is taught in our schools, universities, businesses, and organizations comes up short. In Bulletproof Problem Solving: The One Skill That Changes Everything, you'll learn the seven-step systematic approach to creative problem solving developed in top consulting firms that will work in any field or industry, turning you into a highly sought-after, bulletproof problem solver who can tackle challenges at which others balk.   

This is the first reference book on intelligent automation (IA). Also called hyperautomation, it is one of the most recent trends in the field of artificial intelligence. IA is a cutting-edge combination of methods and technologies involving people, organizations, machine learning, low-code platforms, robotic process automation (RPA), and more. This book is for everyone - whether you are an experienced practitioner, new to the topic, or simply interested in what the future holds for enterprises, work, life, and society as a whole.

Artificial intelligence is quickly becoming a valuable companion for work, learning, creativity, and personal development. The Everyday Intelligence Assistant is a practical guide that helps listeners understand how to use AI effectively in everyday life, transforming modern technology into a reliable partner for planning, problem-solving, learning, and creative thinking. Designed for beginners and curious learners alike, this book makes AI approachable, useful, and easy to apply.