
Explore genetic algorithms as a biologically-inspired AI approach to code generation, discussing their potential impact on software development and the future of programming.

Explore the history of ethics in computing, from early computers in warfare to modern AI and privacy issues, emphasizing the role of technologists in shaping a responsible future.

Explore data science fundamentals, from AI's influence to practical machine learning in Python. Covers key concepts, problem-solving applications, and essential Python tools for aspiring data scientists.

Explore Deep Learning with Python and MXNet, including practical demonstrations on a Raspberry Pi for computer vision and natural language processing tasks.

Explore PyTorch's dynamic computation graphs and Autograd package for efficient deep learning, with practical examples and insights into GPU processing and algorithmic differentiation.

Automate internet speed tests, log data, and analyze time series using Python. Learn data mining, visualization, and anomaly detection techniques like ARIMA and LSTM for broadband network performance.

Aprende los conceptos básicos de deep learning y TensorFlow, desde la instalación hasta la creación de redes neuronales, a través de ejemplos prácticos y visualizaciones amigables.

Explore a Python-based humanoid robotic platform for natural human-robot interaction using speech, gestures, and facial expressions. Learn about its architecture, applications, and see a live demo.

Explore text analysis in social media using Naïve Bayes classifiers, sentiment analysis, and linguistic information. Learn about opinion lexicons and supervised vs unsupervised learning approaches.

Descubre cómo TrustYou analiza millones de reseñas de hoteles utilizando tecnologías avanzadas para ayudarte a encontrar el alojamiento perfecto basado en tus preferencias y necesidades específicas.

Explore Italy's shift from SOAP to REST APIs, focusing on standardization, availability strategies, and contract-first approaches for building an interoperable European API ecosystem.

Explore feature engineering techniques for low-dimensional data to enhance model performance, with a focus on neural network classification and practical examples.

Learn to extract opinions from text using spaCy, covering sentiment analysis basics, topic extraction, and rating consolidation. Includes practical examples in German with English translations.

Discover when and how to effectively apply machine learning, with practical tips and real-world examples from open-source projects and cryptocurrency trading.

Explore how LSTM neural networks and Python can generate AI-driven test inputs for software testing and network security, improving upon traditional fuzzing techniques.

Explore ethical pitfalls in data science through a practical example, covering algorithmic fairness, model interpretability, and handling minority classes in AI applications.

Explore the mathematical foundations of machine learning, from linear algebra to optimization, with practical Python implementations using NumPy, SciPy, and TensorFlow.

Explore data-driven creativity through AI and visualization, from poetry composition to image reconstruction, blending technical skills with artistic expression for fun and learning.

Learn to build and deploy an AI-powered pet breed detector using Azure Notebooks, TensorFlow, and transfer learning techniques. Optimize the model for improved accuracy and create a web service.

Explore an open-source browser extension combating online sexism. Learn about challenges, community-led development, and balancing NLP with web development for digital activism.

Explore Intel® DL Boost technology for efficient deep learning inference acceleration using low-precision INT8 and VNNI instructions on 2nd gen Intel Xeon Scalable processors.