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 best-selling 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.

Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us―and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem.

AI for Curious Minds is an engaging beginner’s guide that introduces artificial intelligence, machine learning, automation, and emerging technologies in a clear and approachable way. Written for listeners who are interested in understanding how modern technology works without getting lost in technical jargon, this book provides a practical foundation for exploring one of the most influential innovations of our time.

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.

The AI-Powered Knowledge Builder is a practical guide for students, professionals, and lifelong learners who want to use artificial intelligence to learn more effectively, conduct better research, and organize information with greater clarity. This beginner-friendly book demonstrates how AI can support the learning process by helping readers gather knowledge, simplify complex topics, and create structured systems for long-term understanding and retention.

"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...

The Everyday AI Toolkit is a practical and beginner-friendly guide to using artificial intelligence as a tool for learning, creativity, organization, and everyday productivity. Designed for readers who want to benefit from AI without needing technical expertise, this book demonstrates how simple AI-powered strategies can help streamline tasks, generate ideas, improve planning, and support personal and professional growth.

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.

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 ...

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.

What happens when you teach neural networks the deepest symmetries of nature? This book is a hands-on introduction to one of the most exciting frontiers in science: the convergence of artificial intelligence and quantum field theory. Written for physicists curious about machine learning and for AI practitioners drawn to fundamental physics, it bridges both worlds with clarity, rigor, and working Python code. The journey begins with a surprising discovery. The renormalization group, one of the most powerful tools in theoretical physics, maps directly onto the information flow through neural ...

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.

Unlock the Power of Generative AI: Master Creativity, Deep Learning, and Advanced AI in One Essential Collection! Are you ready to revolutionize your creativity, career, and understanding of artificial intelligence? Whether you're an absolute beginner or looking to sharpen your AI expertise, this book collection takes you on a transformative journey through the world of Generative AI, Deep Learning, and Neural Networks. Discover How AI Can Save You Time, Enhance Creativity, and Propel Your Career Forward!

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.

Machine learning and deep learning are changing technology as we know it. Critical infrastructure decisions are now driven by finely tuned algorithms trained with huge datasets. AI is transforming the way business is done; learn the techniques and strategies to apply this cutting-edge tech to your own businesses.

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...

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.