Bubble Sort
A simple sorting algorithm that repeatedly steps through the list, compares adjacent elements, and swaps them if they are in the wrong order. Important for understanding basic algorithmic principles and their applications.
24 topics found for:
“algorithmic principles”
PageRank
An algorithm used by Google Search to rank web pages in their search engine results, based on the number and quality of links to a page. Essential for understanding search engine optimization and improving website visibility.
Generative AI
A type of artificial intelligence capable of generating new content, such as text, images, and music, by learning from existing data. Important for automating creative processes and generating novel outputs.
Train/Test
A method of splitting a dataset into two subsets: one for training a model and another for testing its performance. Fundamental for developing and evaluating machine learning models in digital product design.
Optimization Theory
The study of finding the best solution from a set of feasible solutions. Crucial for improving efficiency and performance in design and development processes.
Golden Ratio
A mathematical ratio, approximately 1.618:1, often used in design and art to create aesthetically pleasing compositions. Important for designing visually balanced and appealing layouts, leveraging natural aesthetics to enhance user experience.
Backlink Profile
The collection of all the backlinks (inbound links) pointing to a website, used to assess its authority and influence in search engine rankings. Essential for understanding and improving SEO strategies.
RWD
Responsive Web Design (RWD) is an approach to web design that makes web pages render well on a variety of devices and window or screen sizes. Essential for creating flexible, adaptive web experiences that maintain functionality and aesthetics across different platforms and devices.
Link Juice
The SEO value or authority passed from one website to another through hyperlinks, influencing the search engine ranking of the linked site. Important for understanding and leveraging the impact of links on SEO performance.
Information Foraging
The theory that users search for information in a manner similar to animals foraging for food, aiming to maximize value while minimizing effort. Important for designing efficient and user-centered information retrieval systems.
Hallucination
In AI, the generation of incorrect or nonsensical information by a model, particularly in natural language processing. Important for understanding and mitigating errors in AI systems.
Attention Economy
An economic approach that treats human attention as a scarce commodity, focusing on capturing and retaining user attention. Crucial for understanding user engagement and designing products that effectively capture and retain attention.
Spacing Effect
A learning phenomenon where information is better retained when study sessions are spaced out over time rather than crammed in a short period. Crucial for designing educational tools and content that optimize long-term retention.
Machine Learning
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.
Implementation Intentions
A self-regulation strategy in the form of "if-then" plans that can lead to better goal attainment and behavior change. Useful for designing interventions that promote positive user behaviors.
External Cues
Environmental signals that influence behavior and decision-making, such as signage, prompts, or notifications. Useful for designing environments and systems that effectively guide user behavior.
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.
CBR
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.
Canonical URL
The preferred version of a web page that search engines should index, used to avoid duplicate content issues and improve SEO. Essential for managing SEO and ensuring the correct indexing of web pages.
Adaptive AI
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.
Web Crawler
An automated program used by search engines to browse the internet and index web pages, aiding in the retrieval of relevant information during a search query. Crucial for understanding how search engines discover and index web content.
TRiSM
Trust, Risk, and Security Management (TRiSM) is a framework for managing the trust, risk, and security of AI systems to ensure they are safe, reliable, and ethical. Essential for ensuring the responsible deployment and management of AI technologies.
Synthetic Data
Artificially generated data that mimics real data, used for training machine learning models. Crucial for training models when real data is scarce or sensitive.
Mobile-First Indexing
A practice by Google where the mobile version of a website becomes the starting point for what Google includes in its index and the baseline for determining rankings. Crucial for ensuring websites are optimized for mobile users and perform well in search rankings.