The top of the stack: methods for integrating neural models with symbolic reasoning. This is where the entire set converges into transparent, accountable AI architectures.
6/6
The top of the stack: methods for integrating neural models with symbolic reasoning. This is where the entire set converges into transparent, accountable AI architectures.
6/6
Russell & Norvig give the conceptual foundations of search, planning, uncertainty, and agents. It situates all other books within a coherent, classical AI framework.
5/6
Russell & Norvig give the conceptual foundations of search, planning, uncertainty, and agents. It situates all other books within a coherent, classical AI framework.
5/6
A straightforward entry into symbolic logic and rule-based reasoning. It supplies the symbolic substrate needed for explainable decision paths.
4/6
A straightforward entry into symbolic logic and rule-based reasoning. It supplies the symbolic substrate needed for explainable decision paths.
4/6
Molak introduces causal graphs, interventions, and counterfactual reasoning. This is the bridge from raw prediction to explainability with structure and mechanism.
3/6
Molak introduces causal graphs, interventions, and counterfactual reasoning. This is the bridge from raw prediction to explainability with structure and mechanism.
3/6
François Chollet’s book provides the modern neural-network toolbox: intuition, Keras fluency, and practical modeling patterns. It establishes the “learning” side of the stack.
2/6
François Chollet’s book provides the modern neural-network toolbox: intuition, Keras fluency, and practical modeling patterns. It establishes the “learning” side of the stack.
2/6
The Programmer Identity Crisis
On AI, Creativity, and Craft
hojberg.xyz/the-programm...
The Programmer Identity Crisis
On AI, Creativity, and Craft
hojberg.xyz/the-programm...