Inteligencia artificial con Python : Sistemas de aprendizaje, machine learning y deep learning paso a paso

Are you ready to stop being a spectator and become an artificial intelligence creator? *Artificial Intelligence with Python* is a practical guide to learning how to develop real-world AI applications from scratch, without getting bogged down in abstract theories or unnecessarily complex mathematical formulas. Through clear explanations, code examples, and progressive projects, readers will learn the fundamentals of machine learning and deep learning, work with professional tools such as Pandas, scikit-learn, Keras, and TensorFlow, and discover how to build models capable of analyzing data, predicting trends, and classifying images using artificial neural networks. The book also covers advanced techniques like decision trees, random forests, and XGBoost, demonstrating how to apply them to real-world analysis and prediction problems. Its highly practical approach enables you to turn artificial intelligence concepts into functional projects right from the very first pages. Furthermore, this book serves as a reference manual for students of the Specialization Course in Artificial Intelligence and Big Data, as it covers key content from professional modules 5071, 5072, and 5073. Aimed at students, educators, programmers, and technology enthusiasts, *Artificial Intelligence with Python* offers a solid starting point for understanding AI, using Python as a development tool, and creating intelligent solutions for the real world. Make the leap from understanding artificial intelligence to creating it.