Computer Intelligence

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.

Ready to turn your ideas into income—powered by AI? Whether you're starting from scratch or scaling your side hustle, AI Income Blueprint gives you the exact roadmap to launch, grow, and profit in the AI economy. This isn’t theory. It’s a step-by-step guide packed with proven strategies, insider secrets, and actionable tools to help you build a real business—even if you’re not “techy.”

Unlock new levels of business success with AI Profit Multiplier, your guide to leveraging the power of AI apps and chatbots like ChatGPT and Claude. In this essential resource, you’ll discover how today’s most innovative digital entrepreneurs and business owners use AI to transform operations, increase productivity, and supercharge sales.

Ready to turn ChatGPT into a 24/7 income machine? Whether you're starting from scratch or scaling your digital hustle, ChatGPT Income Empire gives you the exact blueprint to earn fast, automate smart, and grow a sustainable online business using AI.

Des premiers algorithmes aux systèmes d'auto-apprentissage et aux réseaux neuronaux, « Le trading IA de A à Z » offre un aperçu fascinant des coulisses d'un monde où les machines sont depuis longtemps devenues des acteurs à part entière. Vous découvrirez comment les systèmes d'IA modernes prennent des décisions, comment les modèles prédictifs identifient les tendances avant qu'elles ne se manifestent et comment vous pouvez, en tant que débutant, accéder à ce monde hautement complexe, même sans avoir fait d'études en informatique.

If you read (or listen to) nothing else on artificial intelligence and machine learning, listen to these ten articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand the future direction of AI, bring your AI initiatives to scale, and use AI to transform your organization.

Confused about AI and worried about what it means for your future and the future of the world? You're not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor cut through the confusion to give you an essential understanding of how AI works, why it often doesn't, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil—products that don't work, and probably never will.

Your gateway into the future of automation—perfect for beginners, busy professionals, and side-hustlers. Whether you’re a solopreneur, student, or creative, this no-fluff guide walks you through real-world projects that automate tasks, boost productivity, and build intelligent AI agents—without writing a single line of code.

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.

In Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You’ll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks.

In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art.

Are you ready to ride the AI wave and build real income from scratch? Whether you're a total beginner or a curious entrepreneur, AI Income Explosion gives you the exact blueprint to launch, scale, and profit — fast. This isn’t theory. It’s a step-by-step guide packed with proven strategies, automation tools, and income systems you can start using today.

In today's cutthroat sales world, where sales professionals are constantly juggling multiple responsibilities and navigating a sea of relentless competitors, everyone is looking for an edge. What if that EDGE is found in a tool powerful enough to give you more time in your sales day, accelerate your productivity, and still leave room for the human touch that's vital to building relationships? Enter the game-changing world of Artificial Intelligence. Enter The AI Edge.

Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.

In this absorbing and frequently contentious book, Roger Penrose puts forward his view that there are some facets of human thinking that can never be emulated by a machine. The book's central concern is what philosophers call the "mind-body problem". Penrose examines what physics and mathematics can tell us about how the mind works, what they can't, and what we need to know to understand the physical processes of consciousness.

Artificial Intelligence (AI) is causing massive changes in our lives, both at the individual and societal level, with the global AI market expected to reach around 126 billion US dollars by 2025. As more and more decision-making moves to AI systems, unique risks are being introduced. However, this topic can be quite challenging for newcomers who want to understand the governance and cyber-security risks that AI introduces. This book assumes zero prior knowledge of AI or machine learning and explains in an easy-to-understand way how to govern and secure AI.

AI is becoming ubiquitous. Whatever its arrival portends for our future, whether riches or ruin, it cannot be avoided. The Artifice of Intelligence explores two questions at the heart of a theological response to AI. Is it possible for human beings to have authentic relationships with an AI? How does the increasing presence of AI change the way humans relate to one another? In pursuing answers to these questions, Herzfeld explores what it means to be created in the image of God and to create AI in our own image.

Drawing from her experience at Google and Meta, Dr. Marily Nika delivers the definitive guide for product managers building AI and GenAI powered products. Packed with smart strategies, actionable tools, and real-world examples, this book breaks down the complex world of AI agents and generative AI products into a playbook for driving innovation to help product leaders bridge the gap between niche AI and GenAI technologies and user pain points.

Artificial intelligence is everywhere. Major software organizations like Microsoft, Google, and Apple have built AI directly into products and invited the world to become part of the AI revolution. And it's impossible to use these tools to their fullest potential without understanding the basics of what AI is and what it can do. Perfect for professionals curious about the potential and pitfalls associated with generative artificial intelligence, Artificial Intelligence All-in-One For Dummies shows you exactly how AI works and how you can apply it in your own professional and personal life.

In this updated and expanded edition of Human + Machine—including a new chapter on gen AI—Daugherty and Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization, whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly—or completely reimagine them.