Contents Chapter 1: Deep Algorithm Unrolling for Radar Waveform Design Chapter 2: Model-Based Reinforcement Learning for ISAC Chapter 3: Low-Resolution Processing with Deep Learning Chapter 4: Reinforcement Learning for Intelligent Radar Target Detection Chapter 5: Learning Approaches for Detection and Mapping in Autonomous Agents' Networks Chapter 6: Sparse Antenna Array Interpolation with Model-Based Machine Learning and Deep Frequency Attention Networks Chapter 7: Tensorized Neural Networks in Array Signal Processing Chapter 8: SAR Image Interpretation with Deep Neural Networks Chapter 9: Data-driven Kalman Filter for Target Tracking Chapter 10: Physics-aware Deep Learning Techniques for Radar-based Human Activity Recognition Chapter 11: Data-driven Resource Allocation in Distributed Radar Network.