tiagomonteiro0715 / The-Math-Behind-Artificial-Intelligence-A-Guide-to-AI-Foundations
A book on the mathematical foundations of AI from an engineering perspective.
Why this job: works in the areas we cover, but does not say which job it does
What it does
Written from an engineering perspective (think in terms of building blocks), it connects theory to practice with visualizations, Python code, and real life applications.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 5 months ago
- Stars
- 190
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 72% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- Off
- Issues switched off
- Pull requests
- 6 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 72%
- Prolog 28%
Topics
- adam-optimizer
- ai
- artificial-intelligence
- book
- books
- calculus
- convergence
- deep-learning
- derivatives
- educational
- integrals
- knowledge
Project record
- JobOther AI tools
- StatusListed
- Commits27
- Forks44
- Watching4
- Stars in 28 days+2
- CreatedDec 31, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026