Features
Visual explanations for every algorithm
Step-by-step Python code examples
Covers search, optimization, planning, and learning algorithms
Deep learning and neural networks from scratch
Generative AI and transformer architecture
Reinforcement learning with practical examples
Algorithm comparison and selection guidance
Real-world case studies and exercises
Access to official code repository on GitHub
Community discussion forum via Manning
Seed map generation from a single article
Date-vs-citation graph visualization
Discover relevant papers via citation connections
Bird's-eye view of research landscape
Share maps with colleagues (read-only)
Automatic email alerts for new papers (daily/weekly/monthly)
Organize multiple research projects
Dyslexia-friendly visual layout
Catalog of 270+ million papers
Advanced search with custom filters (Pro)
Unlimited input articles (Pro)
Team-wide collaboration (Team)
2023 redesign improving Discovery and Visualization
