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Sistemas de Aprendizaje Automático (Big data, Data Science e Inteligencia Artifial)
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產品詳情
- El presente libro tiene una clara vocación didáctica, se dirige a todas las personas que quieren adentrarse en el apasionante campo del aprendizaje automático combinando la teórica con la práctica para que sea sencillo asimilar las explicaciones. En esta obra se revisan los algoritmos más comunes y su implementación en Python. Comienza con una introducción a las claves que han impulsado nuestra sociedad hacia la era de los datos y explora cómo, mediante técnicas de aprendizaje automático, obtener partido a la inmensa cantidad de datos que hoy nos rodea. A continuación, se presenta el aprendizaje no supervisado con sus principales algoritmos y usos: agrupamiento, manifolds, reglas de asociación y algoritmos de detección de anomalías. Le sigue el aprendizaje supervisado; partiendo del modelo más simple, modelo lineal multivariante, se llega a las Máquinas de Soporte Vectorial (SVM). Finalmente, finaliza con el aprendizaje profundo (gran parte de lo que denominamos Inteligencia Artificial) donde se explican, de una manera sencilla e intuitiva, los perceptrones multicapa profundos, las redes convolucionales profundas (CNN) y los modelos recurrentes Long Short Term Memory (LSTM). Esta obra contiene numerosas aplicaciones prácticas con su código Python que podrá descargar desde la web del libro. ¿Te lo vas a perder? El libro contiene material adicional que podrá descargar accediendo a la ficha del libro en www.ra-ma.es. Los contenidos adaptados al Curso de Especialización en Inteligencia Artificial y Big Data.
| Publisher | RA-MA, S.A. Editorial y Publicaciones |
| Publication date | 18 April 2023 |
| Edition | 1st |
| Language | Spanish |
| Print length | 264 pages |
| ISBN-10 | 8419444979 |
| ISBN-13 | 978-8419444974 |
| Item weight | 450 g |
| Dimensions | 17 x 2.5 x 24 cm |
產品敘述
Sistemas de Aprendizaje Automático (Big data, Data Science e Inteligencia Artifial)
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Paperback AI & Machine Learning Editorial Review
Sistemas de Aprendizaje Automático Big data Data Science e Inteligencia Artifial offers a comprehensive introduction to the fundamentals of Artificial Intelligence, Big Data, Data Science, and Machine Learning. This book is suitable for university students and professionals wanting to solidify their foundational knowledge before tackling advanced topics. Reviewers note that the text is well-structured, providing clear explanations of complex concepts like the 3Vs of Big Data and differences between AI, ML, and DL. While it assumes some basic knowledge of statistics and linear algebra, its accessible language and practical examples make it valuable for both beginners and advanced readers. Overall, this book serves as an excellent foundation for understanding the intricate relationship between Machine Learning and Big Data.
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優點
- Excellent introduction to complex AI concepts
- Clear and accessible explanations
- Structured and progressive content
- Practical examples enhance understanding
- Ideal for students and professionals
缺點
- Cover arrived slightly scratched and bent.
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