Showing results for "Science Teaching" in Computer Science

Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models.

In this groundbreaking and practical guide, teachers will discover how to harness and manage AI as a powerful teaching tool. Jose Antonio Bowen and C. Edward Watson present emerging and powerful research on the seismic changes AI is already creating in schools and the workplace, providing invaluable insights into what AI can accomplish in the classroom and beyond.

This book will teach you to: understand what AI and machine learning are, and learn about new developments like ChatGPT; discover strategies for engaging students more fully using AI; automate administrative tasks, grading and feedback, and assessments; use AI in innovative ways to promote higher-order thinking skills; and examine ethical considerations of AI, including the achievement gap, privacy concerns, and bias.