Expected Utility Theory
A theory in economics that models how rational individuals make decisions under risk by maximizing the expected utility of their choices. Essential for understanding decision-making under risk.
A theory in economics that models how rational individuals make decisions under risk by maximizing the expected utility of their choices. Essential for understanding decision-making under risk.
The use of statistical techniques and algorithms to analyze historical data and make predictions about future outcomes. Important for optimizing marketing strategies and anticipating customer needs.
The practices used to improve a website's position in search engine results through activities outside the website, such as backlinking and social media engagement. Crucial for enhancing website visibility and search engine rankings.
AI systems that can dynamically adjust their behavior based on new data or changes in the environment. Important for developing systems that can respond to real-time changes and improve over time.
A statistical technique that uses several explanatory variables to predict the outcome of a response variable, extending simple linear regression to include multiple input variables. Crucial for analyzing complex relationships in digital product data.
A type of artificial intelligence that enables systems to learn from data and improve over time without being explicitly programmed. Crucial for developing intelligent systems that can make data-driven decisions.
Specific and less common keyword phrases that visitors are more likely to use when they are closer to making a purchase or when using voice search. Important for targeting niche markets and improving SEO with highly specific search terms.
A URL that is structured in a way that is easily readable by both users and search engines, often including keywords to improve search engine optimization. Essential for improving a website's visibility and ranking in search engine results.
A comprehensive analysis of a website to assess its performance in search engine rankings and identify areas for improvement. Essential for diagnosing and enhancing a website's SEO performance.
The process of assigning target keywords to specific pages on a website to optimize each page for relevant search terms and improve overall SEO strategy. Crucial for creating a structured and effective SEO strategy.
An SEO issue that occurs when multiple pages on the same website target the same keyword, causing them to compete against each other and potentially harming search rankings. Important for optimizing SEO strategy and ensuring that each page targets unique keywords effectively.
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that uses human input to guide the training of AI models. Essential for improving the alignment and performance of AI systems in real-world applications.
The spread and pattern of data values in a dataset, often visualized through graphs or statistical measures. Critical for understanding the characteristics of data and informing appropriate analysis techniques in digital product development.
A statistical method used to assess the generalizability of a model to unseen data, involving partitioning a dataset into subsets for training and validation. Essential for evaluating model performance and preventing overfitting in digital product analytics.
A statistical theory that states that the distribution of sample means approximates a normal distribution as the sample size becomes larger, regardless of the population's distribution. Important for making inferences about population parameters and ensuring the validity of statistical tests in digital product design.
Case-Based Reasoning (CBR) is an AI method that solves new problems based on the solutions of similar past problems. This approach is essential for developing intelligent systems that learn from past experiences to improve problem-solving capabilities.
The use of natural language processing to identify and extract subjective information from text, determining the sentiment expressed. Crucial for understanding public opinion and customer feedback.
Enhanced search results that include additional visual or informational elements beyond the standard text, often derived from structured data on a webpage. Important for improving click-through rates and providing users with more useful information in search results.
A prioritized list of ideas and potential features for future product development, embodying a collective vision for innovation and improvement. Essential for managing creative input and maintaining an innovation pipeline that aligns with the team's entrepreneurial spirit and shared commitment to product excellence.