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Feature-Set Experiments with OOP
Problem setup: A Data Science team has many candidate features but can train only a subset per run...
itertools in Data Science: Product, Combinations, Permutations
The itertools module provides iterator tools for combinatorial generation. Typical Data Science...
Classes, Objects, Constants, and Magic Methods
Object-oriented programming is most useful when each class models one domain concept with clear...
Route Optimization II: Search Space, Brute Force, and Practical Heuristics
For a multi-leg trip, each leg can offer several modalities. If each of L legs has k options,...
Damage Regression II: Combinatorial Feature Expansion and Baseline Prediction
After extraction, each report is represented by up to 3 mapped token IDs. The lecture case expands...
DS Analogue of Card Deck: Feature Bundle Generator
A domain-specific analogue to card dealing for Data Scientists: Instead of suits and ranks, we have...
Entanglement: Bell and GHZ States
Entangled states are not products of separate qubit states: the vector lives in the joint space, so...
Observables, Expectation Values, and Pauli Operators
Hermitian operators encode questions with real answers: the expectation langlepsi|O|psirangle is...
Primitives: Sampler vs Estimator
Modern quantum SDKs split what you ask into primitives. A sampler returns bitstring statistics; an...
Measurement and Born Rule
You prepared a superposition and measured once: the histogram you see is not the wavefunction, it...
Single-Qubit Gates and Circuit Composition
Single-qubit gates are 2times 2 unitaries composed in time order. X swaps populations, Z adds phase...
QML Foundations: Why Quantum Machine Learning?
Quantum machine learning is almost always hybrid : classical code optimizes parameters while a...