Explainable AI for Earth Observation Data Analysis: Applications, Opportunities, and Challenges

Programming Computer Vision with Python: Tools and algorithms for analyzing images

Artificial Intelligence for Robotics: Build intelligent robots that perform human tasks using AI techniques

The Kaggle Workbook: Self-learning exercises and valuable insights for Kaggle data science competitions

Transformers for Machine Learning (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Visualization and Processing of Tensor Fields: Advances and Perspectives (Mathematics and Visualization)

GANs in Action: Deep learning with Generative Adversarial Networks

Topological Data Analysis for Scientific Visualization (Mathematics and Visualization)

Generative AI with Python and TensorFlow 2: Create images, text, and music with VAEs, GANs, LSTMs, Transformer models