Learning Artificial Intelligence

¿Está usted confundido acerca del furor que existe detrás de la inteligencia artificial y le gustaría aprender más? Este audiolibro lo abarca todo, desde el aprendizaje automático hasta la robótica y el Internet de las cosas. Usted puede usarlo como una guía útil cuando se encuentre con titulares de noticias que hablan de un nuevo avance en la inteligencia artificial por parte de Google o Facebook. Será consciente de lo que son las redes neuronales artificiales, cómo funcionan el descenso de gradiente y la propagación hacia atrás, y qué es el aprendizaje profundo.

Machine learning (and also data science) is a computer algorithm that learns how to improve, adjust, and formulate new rules into itself. It's an important, high-demand field that is going to be the future of computer programming....

Understanding AI has never been easier. With easy-to-understand text, this new edition of Simply Artificial Intelligence is the perfect introduction to the latest developments in AI. Covering a broad range of fields within AI - from computing and mathematics to politics and philosophy - entries...

Generative AI for Beginners Simplified is your ultimate gateway into the exciting world of artificial intelligence and machine learning. This comprehensive guide is specially designed for beginners, breaking down complex concepts into easy-to-understand lessons, practical exercises, and real-world projects. Whether you’re completely new to AI or looking to refresh your skills, this book provides you with a step-by-step roadmap to mastering generative AI and unlocking your creative potential.

Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target—from ultra-low power microcontrollers to embedded Linux devices.

Muchas personas tienen preguntas sin respuesta sobre inteligencia artificial. Hoy, la mayoría de esas preguntas probablemente serán respondidas. Se abordarán las preocupaciones y se darán ejemplos. La sociedad está cambiando rápidamente debido a los sistemas automatizados que benefician o socavan el estilo de vida, el trabajo y el cerebro de las personas. Hoy exploramos lo que puede deparar ese futuro. También buscaremos opciones para que los civiles en el mundo moderno de hoy se adapten más rápidamente.

Decision intelligence (DI) has been widely named as a top technology trend for several years, and Gartner reports that more than a third of large organizations are adopting it. Some even say that DI is the next step in the evolution of AI. Many software vendors offer DI solutions today, as they help organizations implement their evidence-based or data-driven decision strategies. But until now, there has been little practical guidance for organizations to formalize decision making and integrate their decisions with data. With this book, authors L. Y. Pratt and N. E. Malcolm fill this gap.

Everywhere we turn, a new device promises to transfigure our lives. But at what cost? In this urgent and revelatory excavation of our Information Age, leading technology thinker Adam Greenfield forces us to reconsider our relationship with the networked objects, services, and spaces that define us. It is time to re-evaluate the Silicon Valley consensus determining the future. We're told that innovations - from augmented - reality interfaces and virtual assistants to autonomous delivery drones and self-driving cars - will make life easier, more convenient, and more productive.

AI for Beginners: Using Artificial Intelligence for Good, Essential Basics, Creative Ideas, and Side Hustles is a comprehensive guide that covers the basics of AI and provides practical, hands-on tips for getting started with AI projects.

Are you drowning in endless tasks? Stuck using outdated tools that make your workday drag on forever? Does the mere mention of AI make you feel like you're lost in a sci-fi thriller you don't understand? Take a deep breath. You don't have to be a tech guru to harness the game-changing powers of AI and ChatGPT. You're just one listen away from demolishing the barriers that prevent you from unlocking a wealth of new skills and opportunities.

Ever wondered how your favorite apps predict your preferences or how self-driving cars navigate the roads? Welcome to the world of Machine Learning, where these wonders come to life! "Introduction to Machine Learning" is your ticket to unraveling the mysteries of this groundbreaking technology without the need for a PhD!

In your everyday life artificial intelligence is all around you. Every time you buy a product on Amazon, follow a new profile on Instagram, listen to a song on Spotify or reserve a room on Booking, they are learning something out of your behavior. And these are just the most visible aspects of how machine learning is having an impact on our lives. Everyone knows how important machine learning is for the growth and success of the biggest tech companies, and many people know about the machine learning impact in science, medicine and statistics.

Either if you want to start your own AI enterprise, to empower your business or to work in the greatest and most innovative companies, Artificial Intelligence is the future, and neural networks programming is the skill you want to have. The good news is that there is no exclusive club, you can easily (if you commit, of course) learn how to program and use neural networks, and to do that Neural Networks for Beginners is the perfect way.

The goal of this audiobook is to present the listener with a digestible explanation of neural networks while keeping the underlying concepts intact. The listener will acquire fundamental knowledge of neural networks through loosely related chapters that nonetheless reference terms and ideas mentioned throughout the audiobook. The audiobook itself isn’t meant to be strictly academic, but a blend of colloquial and technical that brings this exciting, yet eerie, topic to the widest swath of the general public.

Analytics of Life provides the listener with a broad overview of the field of data analytics and artificial intelligence. It provides the layperson an understanding of the various stages of artificial intelligence, the risks and powerful benefits. And it provides a way to look at big data and machine learning that enables us to make the most of this exciting new realm of technology in our day-to-day jobs and our small businesses.

Brought to you by Penguin. What if we could stop cancer in its tracks, prevent cardiovascular disease, lose weight at will and reverse the effects of ageing? With new developments in artificial intelligence, gene editing and robotics, it might all be possible sooner than you think. In Hacking...

It’s said that filling the observable universe with an infinite number of monkeys on infinite typewriters and letting them type for an infinite amount of time would eventually produce Shakespeare’s works. However, what would happen if we applied the infinite monkey theorem to computer programs capable of learning and evolution? Would a thousand such smart machines thrown together and allowed to evolve undisturbed produce a human mind or something much greater? Well, scientists decided to give it a go and see what happened.

A revelatory, insight-filled playbook for doing business in China and a probing look at why the country, despite the challenges it faces, still possesses unrivaled prospects for growth and entrepreneurial opportunity—by two leaders who, over the course of decades, have taken turns helming...

Somewhere buried in all the systems that drive artificial intelligence, you'll find machine learning―the process that allows technology to build knowledge based on data and patterns. Machine Learning For Dummies is an excellent starting point for anyone who wants deeper insight into how all this learning actually happens. This book offers an overview of machine learning and its most important practical applications.

As the digital world becomes more connected and data privacy concerns grow, traditional centralized machine learning models face serious limitations. Federated Learning presents a revolutionary approach—enabling intelligent agents to learn collaboratively across decentralized devices while keeping sensitive data where it originates.