Description
IMPORTANT!
Thanks to your messages, we have noticed a few issues.
In January 2024, some issues were detected in the book's assembly, which led to confusion regarding the translation for readers, casting doubt on the English edition of the book.
These problems were corrected at the time, but unfortunately, Amazon has been selling the stock copies instead of on-demand as it should have been. Therefore, the copies sold since January/February 2024 should have reached buyers corrected. This situation has led to very poor reviews of the English version of the book, which we deeply regret, as it has cast doubt on the professionalism of the author.
To address this problem, we have decided to conduct a complete review of both the book's assembly and the English translation.
The English translation has been reviewed, and all editing issues have been corrected as of 30/01/2024. This ensures that readers have the best reading and learning experience, enjoying the book to its fullest in the translated version as well.
We apologize to those who purchased the book before February 2024 until this date and thank you for your understanding.
Now you can buy the second edition here: https://www.amazon.com/dp/B0D5D5PRRS
It is important to mention and emphasize that the book is structured to teach many very complex topics, from the most basic to the most advanced levels, and it should be easily understood and followed by the reader throughout. This is why the book relies on lists and enumerations, as the content and methodology require it.
We are confident that AI-Manager is the best book for learning artificial intelligence and becoming the best AI Manager!
The content of the book demonstrates this, as evidenced by the reviews received in its other versions!
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"AI Manager" by Juan García is a comprehensive guide for all those who wish to embark on the fascinating journey through the world of Artificial Intelligence. It offers a detailed view of the definitions, classifications, and applications of AI and Machine Learning, with a special focus on practical implementation in various business areas.
The book guides the reader through the following topics:
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Artificial Intelligence.
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Machine Learning.
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Algorithms.
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Methods.
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Data.
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Diagrams.
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Software.
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TinyML.
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Use cases.
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Project management.
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Bias.
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Ethics and law.
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Questions and answers (110).
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Glossary (2388 terms).
The book highlights the importance of the profession of AI Project Manager, which requires not only a deep technological understanding but also considering the ethical, social, and commercial implications of AI. It shows how AI is used in various sectors such as human resources management, marketing, banking, and the automotive industry, and emphasizes the need for careful management and leadership of AI projects to ensure their efficient and effective execution.
Moreover, the book reflects on the role of AI Managers as key leaders in an era of rapid technological advances. It seeks to inform and inspire readers to explore the endless possibilities that AI offers for the future. The author, Juan García, brings his extensive experience and knowledge to convey a deep understanding of AI and its applications.
"AI Manager" is a comprehensive work that seeks to introduce readers to the world of Artificial Intelligence and train them for the profession of AI Manager. It is suitable for both beginners and experienced professionals who wish to expand their knowledge.
The book "AI Manager" by Juan García is very suitable for educational purposes in schools, academies, and universities:
1. Broad and detailed coverage: The book offers a comprehensive view of Artificial Intelligence, from the basics to advanced strategies for its application in different business areas. This breadth of content makes it valuable for a wide range of students, from beginners to those with previous experience.
2. Practical approach and real-life applications: Exploring practical cases and real applications of AI in sectors such as human resources management, marketing, and the banking and automotive industries, the book provides concrete examples that can enhance students' understanding and interest in the subject.
3. AI project management: A significant focus on AI project management provides valuable perspectives for those interested in leadership and implementation of technological projects, a crucial skill in higher and professional education.
4. Author's experience and depth: With over 25 years of experience in the industry and deep knowledge in various business areas, Juan García brings a rich and well-informed perspective, beneficial for an academic environment.
5. Development of critical and reflective skills: Inviting readers to learn, question, and dream about the future possibilities of AI, the book fosters critical thinking and reflection, essential skills in any educational program.
6. Current relevance: By addressing current topics and recent advances in the field of AI, the book is a relevant and current educational tool, essential in a rapidly developing field like AI.
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