Showing results for "The Code" in Computer Science

Take a data-first and use-case-driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. In each case, you'll learn key ML concepts by using real-world datasets with realistic problems.

Veteran software developer and GitHub community hero Kurt Dowswell delivers an insightful and hands-on exploration of GitHub's powerful, new AI coding assistant, Copilot. In the book, you'll discover how to use the tool's capabilities to push the boundaries of what you thought was possible in programming. Even if you've used autocomplete tools-like VS Code's TabNine extension—before, you'll be floored by GitHub Copilot's potential to transform the way you code.

Desde mediados de la década de 2000, la inteligencia artificial (IA) se ha expandido a gran velocidad a nivel mundial, como campo académico y como industria. De manera crítica, advierte cómo la IA altera la forma en que el mundo es visto y entendido, e impulsa un cambio hacia gobiernos antidemocráticos, una mayor desigualdad y enormes daños medioambientales. De hecho, la creación de los sistemas de IA contemporáneos dependen de la explotación de los recursos energéticos y minerales del planeta, de la mano de obra barata y de los datos a gran escala.

The dramatic, larger-than-life true story behind the founding of Oculus and its quest for virtual reality, by the bestselling author of Console Wars. From iconic books like Neuromancer to blockbuster films like The Matrix, virtual reality has long been hailed as the ultimate technology. But...