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Programación de Inteligencia Artificial. Curso Práctico (Big data, Data Science e Inteligencia Artificial)
IDR 861272
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Our book makes AI accessible and easy to understand for those with little or no programming experience.
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- La inteligencia artificial se centra en la creación de sistemas capaces de ejecutar tareas que requieran algún tipo de inteligencia humana. Entrar en este campo sin conocimientos previos puede parecer muy complejo, pero con esta obra estamos convencidos que cualquier lector puede lograrlo sin demasiado esfuerzo. El objetivo de este libro es hacer que la IA sea accesible y fácil de entender para personas con poca o ninguna experiencia en programación. De forma progresiva los lectores obtendrán el conocimiento que necesitan sobre cómo crear sistemas capaces de ejecutar tareas que requieren alguna forma de inteligencia similar a la humana, siempre acompañado de ejercicios prácticos para facilitar el aprendizaje. A través de ejemplos se comienza introduciendo al lector en la programación con Python, así como los conceptos claves en inteligencia artificial y se avanza de forma gradual hacia temas más complejos como el aprendizaje profundo y el aprendizaje automático, acompañando siempre la parte teórica con ejemplos prácticos que facilitarán la asimilación. Para finalizar, se abordan conceptos básicos de inteligencia artificial, como la clasificación y la regresión para continuar con implementaciones de inteligencia artificial, lo que permitirá a los lectores generar sus propios algoritmos de inteligencia artificial para el aprendizaje por refuerzo, los chatbots, la detección de rostros y reconocimiento facial, el procesamiento del habla y el lenguaje natural y el análisis de datos. Los contenidos adaptados al Curso de Especialización en Inteligencia Artificial y Big Data. El libro contiene material adicional que podrá descargar accediendo a la ficha del libro en www.ra-ma.es
| Publisher | RA-MA, S.A. Editorial y Publicaciones |
| Publication date | 19 May 2023 |
| Edition | 1st |
| Language | Spanish |
| Print length | 324 pages |
| ISBN-10 | 8419444995 |
| ISBN-13 | 978-8419444998 |
| Item weight | 543 g |
| Dimensions | 17 x 1.8 x 24 cm |
Who Should Buy?
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Aspiring Data Scientists
Ideal for individuals looking to gain hands-on skills in AI, big data, and data science for career advancement.
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Tech Professionals
Benefits IT and software professionals seeking to enhance their understanding of AI applications in real-world scenarios.
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Students in STEM
Perfect for students pursuing degrees in science, technology, engineering, or mathematics looking to specialize in AI.
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Casual Learners
Not suitable for those who are looking for a lightweight introduction to AI without technical depth or practical application.
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Pertanyaan & Jawaban Pelanggan
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Paperback AI & Machine Learning Editorial Review
Programación de Inteligencia Artificial. Curso Práctico Big data Data Science e Inteligencia Artificial is a comprehensive guide designed to introduce readers to artificial intelligence without requiring prior knowledge. As noted in the reviews, it provides clear concepts and a well-structured path for those interested in diving into the realms of data science and AI. The book, published by RA-MA, S.A. Editorial y Publicaciones, spans 324 pages and was released on May 19, 2023. Reviewers appreciate its usability, referring to it as very helpful, and highlight that it is particularly effective for those with some foundational programming and mathematical knowledge.
Customer Reviews & Ratings
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Pro
- Clear introduction to artificial intelligence concepts
- Well-structured roadmap for learners
- Suitable for beginners in programming
- Rich in useful information
- Helps build a solid foundation in AI
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- May require basic programming knowledge for full comprehension
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IDR 861272
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Fitur & Manfaat
- Designed for beginners with no prior programming knowledge.
- Progressive learning path from basic programming in Python to complex AI concepts.
- Includes practical exercises to enhance understanding.
- Covers topics like deep learning, machine learning, and data analysis.
- Teaches creation of algorithms for chatbots, facial recognition, and natural language processing.
- Additional downloadable material available on the publisher's website.
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