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IA the Book

AI the Definitive Book on Artificial Intelligence $ 28,15

"AI the Book" is the definitive book on Artificial Intelligence. It covers AI, its history, methods, Machine Learning, biases and rights, use cases, and discovers the secrets of the Prompt.

ISBN-13: 979-8322773184
253 Pages, Softcover, 15.2 x 22.86 cm (5.2x9 inches)

Available on Amazon in the following languages:
- English (coming soon)
- Español (disponible)
- Deutsch (ab Mai 2024 erhältlich)

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  • Description
  • Reviews

Description

"AI the Definitive Book on Artificial Intelligence" stands out as the best option for those who wish to learn about this revolutionary technology. Its comprehensive content, meticulously organized structure, and clarity in presenting concepts make it an unparalleled tool. Each chapter is designed to progressively build the reader's knowledge, from basic fundamentals to advanced applications and ethical considerations. Complex concepts are explained with precision, making them accessible to beginners and valuable to advanced professionals. This book not only teaches AI but also inspires readers to apply what they have learned ethically and effectively in their own fields, ensuring a comprehensive and practical understanding of artificial intelligence.

I have written the book "AI: The Definitive Book on Artificial Intelligence" as a complete and accessible guide for anyone wishing to delve into the fascinating world of artificial intelligence. This book is not only a theoretical exploration of the fundamentals and principles of AI but also a practical tool offering knowledge applicable to various fields, from medicine to industry.

As an author and expert in artificial intelligence, my experience ranges from teaching machine learning to advising companies on the implementation of advanced technologies. Throughout these pages, I demystify complex concepts and present case studies that demonstrate the transformative impact of AI on our daily lives and work.

This book is structured to provide a clear understanding of the different types of artificial intelligence, including machine learning and deep learning, and how these can be applied to improve decision-making processes and operational efficiency. Additionally, I address the ethical and social challenges that arise with the adoption of these technologies, offering a balanced perspective on their benefits and potential risks.

It is my wish that, upon completing the reading of this book, readers not only acquire a deep understanding of what AI can do and how it works but also that they are inspired to actively participate in the design and ethical use of artificial intelligence, fostering a future in which technology and humanity coexist in harmony and collaboration.

The book guides the reader through the following topics:

  • Artificial Intelligence.

  • Machine Learning.

  • Methods.

  • Data.

  • TinyML.

  • IoT.

  • Use cases.

  • Bias.

  • Ethics and law.

  • Prompting.


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