Hash Function – A mathematical function that converts data of any size into a fixed-size output.
A word or phrase preceded by the # symbol used to categorize and search for content on social media platforms.
Heat mapping – Visual representation that shows where users click most frequently on web pages.
Heat mapping/Click tracking – visual representation that shows where users click most frequently on web pages
Heat mapping/Click tracking – Visual representation that shows where users click most frequently on web pages.
Heatmaps – Visual representations that show where users click most frequently on web pages.
Heat maps – Visual representations that show where users click most frequently on web pages.
Heatmaps and click tracking
Tools used to analyze user behavior on a website by tracking where users click and how they interact with the site.
Hidden Data Secrets
Hidden Data Secrets – Insights and information that can be gleaned from data that is not immediately obvious.
Hidden Gems – Undiscovered or underutilized features or data within a system.
High availability – The ability of a system to remain operational and accessible at all times.
A term used to describe a website’s ranking in search engine results pages (SERPs).
Higher conversion rates
Higher conversion rates – The percentage of website visitors who take a desired action, such as making a purchase or filling out a form.
Historical Data – Data that has been collected and recorded over a period of time.
Historical Trends – Patterns and trends in data over time.
Human-centered design approach
Human-centered design approach – A design approach that focuses on the needs and experiences of the end user.
Human-Computer Interaction – The study of how people interact with computers and how to design systems that are easy to use and understand.
Human-like interactions – The ability of a computer system to interact with humans in a way that is natural and intuitive.
Human touch – The personal connection and empathy that a company can provide to its customers.
Hyperparameter tuning – The process of adjusting the parameters of a machine learning model to improve its performance.