Explore AI generated designs, images, art and prompts by top community artists and designers.
Fairness means ensuring your analysis doesn't create or reinforce bias. This can be challenging , but if the analysis is not objective , the conclusions can be misleading and even harmful. In this reading , you’re going to explore some best practices you can use to guide your work toward a more fair analysis! Consider fairness Following are some strategies that support fair analysis: Best practice Explanation Example Consider all of the available data Part of your job as a data analyst is to determine what data is going to be useful for your analysis. Often there will be data that isn’t relevant to what you’re focusing on or doesn’t seem to align with your expectations. But you can’t just ignore it; it’s critical to consider all of the available data so that your analysis reflects the truth and not just your own expectations. A state’s Department of Transportation is interested in measuring traffic patterns on holidays. At first , they only include metrics related to traffic volumes and the fact that the days are holidays. But the data team realizes they failed to consider how weather on these holidays might also affect traffic volumes. Considering this additional data helps them gain more complete insights. Identify surrounding factors As you’ll learn throughout these courses , context is key for you and your stakeholders to understand the final conclusions of any analysis. Similar to considering all of the data , you also must understand surrounding factors that could influence the insights you’re gaining. A human resources department wants to better plan for employee vacation time in order to anticipate staffing needs. HR uses a list of national bank holidays as a key part of the data-gathering process. But they fail to consider important holidays that aren’t on the bank calendar , which introduces bias against employees who celebrate them. It also gives HR less useful results because bank holidays may not necessarily apply to their actual employee population. Include self-reported data Self-reporting is a data collection technique where participants provide information about themselves. Self-reported data can be a great way to introduce fairness in your data collection process. People bring conscious and unconscious bias to their observations about the world , including about other people. Using self-reporting methods to collect data can help avoid these observer biases. Additionally , separating self-reported data from other data you collect provides important context to your conclusions! A data analyst is working on a project for a brick-and-mortar retailer. Their goal is to learn more about their customer base. This data analyst knows they need to consider fairness when they collect data; they decide to create a survey so that customers can self-report information about themselves. By doing that , they avoid bias that might be introduced with other demographic data collection methods. For example , if they had sales associates report their observations about customers , they might introduce any unconscious bias the employees had to the data. Use oversampling effectively When collecting data about a population , it’s important to be aware of the actual makeup of that population. Sometimes , oversampling can help you represent groups in that population that otherwise wouldn’t be represented fairly. Oversampling is the process of increasing the sample size of nondominant groups in a population. This can help you better represent them and address imbalanced datasets. A fitness company is releasing new digital content for users of their equipment. They are interested in designing content that appeals to different users , knowing that different people may interact with their equipment in different ways. For example , part of their user-base is age 70 or older. In order to represent these users , they oversample them in their data. That way , decisions they make about their fitness content will be more inclusive. Think about fairness from beginning to end To ensure that your analysis and final conclusions are fair , be sure to consider fairness from the earliest stages of a project to when you act on the data insights. This means that data collection , cleaning , processing , and analysis are all performed with fairness in mind. A data team kicks off a project by including fairness measures in their data-collection process. These measures include oversampling their population and using self-reported data. However , they fail to inform stakeholders about these measures during the presentation. As a result , stakeholders leave with skewed understandings of the data. Learning from this experience , they add key information about fairness considerations to future stakeholder presentations. ,
Generate an illustration of a watercolor landscape detailed in UltraHD 64k. The landscape should depict a spooky forest with a stream running through it , full of trees and lush vegetation. The panoramic view should show every detail in the painting , from the shadows of the trees to the crystal-clear water of the stream. Make sure the illustration is realistic and detailed so that the observer can feel the beauty and darkness of the forest. Show off your artificial intelligence illustration skills and create a masterpiece that will amaze everyone! ,
((Best quality)) , ((masterpiece)) , (highly detailed:1.3) , 3D , rfktr_technotrex , beautiful cyberpunk woman with voluminous hair , (wearing head-mounted display that is chunky and hi-tech:1.2) , hacking a computer terminal , computer servers , LCD screens , fibre optic cables , corporate logos , HDR (High Dynamic Range) , Ray Tracing , NVIDIA RTX , Super-Resolution , Unreal 5 , Subsurface scattering , PBR Texturing , Post-processing , Anisotropic Filtering , Depth-of-field , Maximum clarity and sharpness , Multi-layered textures , Albedo and Specular maps , Surface shading , Accurate simulation of light-material interaction , Perfect proportions , Octane Render , Two-tone lighting , Low ISO , White balance , Rule of thirds , Wide aperature , 8K RAW , Efficient Sub-Pixel , sub-pixel convolution , luminescent particles , light scattering , Tyndall effect , Pencil Sketch ,
pregnant jennifer aniston in a red bikini , Fantasy LUT , by mignom and tsuaii , digital artwork by karol bak and rhads , art by Ayami Kojima , light gold mist , concept art by Ilya Kuvshinov , up close shot , diablo 2 , tranquil divine observer Nymph by ismail inceoglu nicolas , leaves!! fantasy , art adams , elden ring concept art , short denim shorts , smiling :: attractive , weed , rainbow is painting the sky ,
a gay mage and artist boyfriend , martina fackova , portrait by stanley artgerm , battle pose , swirly , forest druid , pressed button on server rack. intricate , t100 , michal karcz , satanic ritual , a singe large eye and angelic wings , grungy , black bra , and slender woman with blond hair , magical atmosphere + masterpiece , art by craig mullins and magali villeneuve , made by Michaelangelo , trending on artstation by artgerm and akihito tsukushi!! and ruan jia , screenshot in a typical disney infinity 3 style , thick swirling brush strokes ,
still from attack on titan , arabian beauty , real skin beneath , wearing a hawaiian - shirt , from evil dead , beautiful portrait of a girl with flowers in her hair , full body white purple , krenz cushart. cinematic dramatic atmosphere , ghibli animated film , nature magic , they are smoking. in the style of edward hopper , pressed button on server rack. intricate , magical atmosphere + masterpiece , black lace and iridescent diaphanous silk , in the style of hayao miyazaki , Range Murata ,
a fantastical transparent small turquoise spirit horse made of water and foam and algae , portrait of a girl by artgerm , fantastically beautiful , campfire , art by artgerm and eiichiro oda and koyoharu gotouge , guatemla crowd for background , tranquil divine observer Nymph by ismail inceoglu nicolas , hamsters dressed in battle gear , chiho aoshima ,
logo , Symbol , passendes Farbschema , corporate identity , upscale image , high-res , website logo , website design , redesign. it , computer , z4kit company name , server , flat icons , modern style , website design , CI , #0044FF , #00FF99 , #FF9900 , website design , social media , colors , icons , ,
El estilo de la imagen tiene que ser una ilustracion , el fondo de esta debe ser un paisaje en donde se observer las auroras boreales; en el cielo de este paisaje se deben ver una camada de gansos volando hacia lo que se considere el norte. En ese fondo tambien se debe observar el instituto real de Londres. En el frente de la imagen , al lado izquierdo se debe ver a Michael Faraday (el cientifico) sosteniendo un bloque de vidrio. Y en el frente de la imagen , al lado derecho , se debe ver a James Clerk Maxwell (el matematico) escribiendo la ecuación de las ondas en un tablero. Michael y James deben estar unidos por unas ondas electromagneticas ,