Lorempixel

Lorempixel

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Game Theory Optimal

Approximating Game-Theoretic Optimal Strategies
Cepheus and Computer Poker Algorithms
GTO vs Exploitative Play
Safe and Nested Subgame Solving
Depth-Limited Solving

Mailer Campaign Uplift Modeling

Profit(C) = ExpectedProfit(C) x [P(B | V) - P(B | C)] - AdCost(C)

• P(B | C) - probability of buying given control without ad campaign (Naive Bayes)
• ExpectedProfit(C) - profit to make from customer if they decide to buy (Regression)
• P(B | V) - probability of buying given variant of ad campaign (Naive Bayes)
• AdCost(C) - cost to mail campaign to customer as a constant
• likely to take into account market or customer segmentation
• regression could be either logistic or linear
• total profit would be determined by how much the customer decided to buy either with control and/or ad campaign
• optimization of ad campaign given the customer conversion ratio
• use customer data as part of expected profit measures for average spend
• additionally, more ways to approach the same contextual measures of profit

uplift modelling

Test-Driven Machine Learning

TDD -> Kent Beck
BDD -> Dan North
Refactoring -> Martin Fowler
Agile -> James Shore

Random processes in machine learning need to be measured and controlled, various simple testing strategies can make this possible.

Probabilistic Reasoning

Factorie (Scala)
Figaro (Scala)
PyMC4 (Python)
PyMC3 (Python)
Probability (Python)
BayesLoop (Python)
Tweety (Java)
Dimple (Java)
Chimple (Java)
WebPPL (JavaScript)

Probabilistic Programming and Bayesian Methods for Hackers
The Design and Implementation of Probabilistic Programming Languages

Natural Computation

• Cellular Automata
• Evolutionary Computation
• Swarm Intelligence
• Artificial Immune Systems
• Artificial Life
• Quantum Computing
• Systems Biology
• Synthetic Biology
• Cellular Computing
• DNA Computing
• Amorphous Computing
• Membrane Computing
• Neural Computation

Global Optimization

Essentials of Metaheuristics

Conversational Dialogs

• A Neural Network Approach to Context-Sensitive Generation of Conversational Responses
• Neural Responding Machine for Short-Text Conversation
• A Neural Conversation Model

Machine Translation

• Sequence to Sequence Learning with Neural Networks
• Neural Machine Translation by Jointly Learning to Align and Translate
• A Convolutional Encoder Model for Neural Machine Translation
• Convolutional Sequence to Sequence Learning
• Convolutional Over Recurrent Encoder for Neural Machine Translation
• Neural Machine Translation
• OpenNMT