Eitemau Tebyg: Deep Learning in Python :
- Deep Learning in Python Prerequisites : Master Data Science and Machine Learning with Linear Regression and Logistic Regression in Python /
- Python Deep Learning : introducción práctica con Keras y TensorFlow 2 /
- Machine Learning with TensorFlow /
- Deep Learning with Python /
- Hello World en TensorFlow : para iniciarse en la programación del Deep Learning /
- Python Machine Learning : Machine Learning and Deep Learning with Python, Scikit-Learn, and TensorFlow /
Pwnc: Redes Neurales - Tema Principal
- Neural Networks for RF and Microwave Design /
- Neural Networks in Business : Techniques and Applications /
- The Artificial Intelligence Handbook : Business Applications In Accounting, Banking, Finance, Management, Marketing /
- Redes neuronales : conceptos fundamentales y aplicaciones a control automático /
- Discrete Mathematics of Neural Networks : Selected Topics /
- Redes neuronales y sistemas borrosos /
Pwnc: Aprendizaje Automático (Inteligencia Artificial) - Tema Principal
- Aprendizaje automático : conceptos básicos y avanzados : aspectos prácticos utilizando el software WEKA /
- Analítica académica : análisis de la graduación de estudiantes de un posgrado con PNPC /
- From Shortest Paths to Reinforcement Learning : A MATLAB-Based Tutorial on Dynamic Programming /
- Practical Machine Learning : Tackle the Real-World Complexities of Modern Machine Learning with Innovative and Cutting-Edge Techniques /
- Ensemble Machine Learning Cookbook : Over 35 Practical Recipes to Explore Ensemble Machine Learning Techniques Using Python /
- Deep Learning in Python Prerequisites : Master Data Science and Machine Learning with Linear Regression and Logistic Regression in Python /