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Presentations
Slide decks and guided tours.
01
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The Science of Programming (Gries) — Guided Tour
02
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The Science of Programming — A Practical Python Playbook
03
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Weakest Preconditions (Dijkstra)
04
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LLM Tech Talk
05
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PyTorch 101
06
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Adaptive Neural Infrastructure
07
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Neural Networks & CNNs — From First Principles (no background needed)
08
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Python 101 — Basics for a New Bee
09
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Monads in Python — With the Math
10
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Automata Theory — DFA, NFA & Regular Expressions
Theory of Computation
11
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Context-Free Grammars & Pushdown Automata
12
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Turing Machines & Undecidability
13
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P vs NP & NP-Completeness
14
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Lambda Calculus — Computation from Functions Alone
15
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Randomized Algorithms — Probability as a Tool
Information Theory
16
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Entropy & Shannon’s Source Coding Theorem
17
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Channel Capacity & Error-Correcting Codes
18
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KL Divergence, Cross-Entropy & Machine Learning
19
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Kolmogorov Complexity — The Information in One Object
20
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Compression in Practice — Arithmetic Coding, LZ & Beyond