Explore AI generated designs, images, art and prompts by top community artists and designers.
Uma adolescente de 16 anos , alta e esguia , com cabelos pretos e lisos que caem na altura dos ombros. Clara tem um estilo moderno e urbano , vestindo roupas típicas de jovens londrinos: uma jaqueta jeans oversized , calça skinny preta e tênis estilosos. Seu rosto expressa um misto de confiança e carinho pela irmã mais nova. Ela pode estar segurando um celular , como se estivesse fazendo uma chamada de vídeo com Carol , ou posando em um ambiente londrino ao fundo , como uma cafeteria charmosa ou uma rua movimentada." ,
A rugged , muscular steampunk adventurer with a brass-plated mechanical arm , visible gears , and intricate hydraulic systems embedded into his skin , stands tall with an air of authority. His dark leather trench coat is unbuttoned , revealing a fitted vest over his strong frame , while a brass whip , coiled at his side , hints at his command over both man and machine. His piercing green eyes burn with a determined gaze as he leans against a massive , steam-powered automaton , his well-groomed beard giving him a sharp , confident look. His sturdy boots press firmly against the cobblestone streets as steam hisses around him. The industrial city behind him is alive with towering gears , airships floating in the mist , and dark alleys glowing under an intricate network of gas lamps and neon lights. His powerful presence is accentuated by the intricate mechanical elements adorning his form—brass gears turning at his wrist , the hydraulic hum of his arm as he grips his cane with hidden blades. He exudes confidence , resilience , and a mastery of the mechanical world around him , a true product of an era where innovation and ambition drive the course of history. ,
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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. ,
Hyper-realistic , front-view close-up portrait of a furious Viking bursting into flames , smoke , embers , (symmetrical composition) , (eye contact) , epic , celestial , moody , cinematic lighting , lens flare , highly detailed , sharp focus , octane render , HDRI , intense , dramatic , warm colors , fiery effect , professional , 35mm , 8k , IMAX , (mouth closed) , viking helmet on his head , dark studio , low key , high contrast , dark background , flawless detail , award-winning , expertly crafted , detailed pupils , unreal engine ,
Hyper-realistic , front-view close-up portrait of a furious Viking bursting into flames , smoke , embers , (symmetrical composition) , (eye contact) , epic , celestial , moody , cinematic lighting , lens flare , highly detailed , sharp focus , octane render , HDRI , intense , dramatic , warm colors , fiery effect , professional , 35mm , 8k , IMAX , (mouth closed) , viking helmet on his head , dark studio , low key , high contrast , dark background , flawless detail , award-winning , expertly crafted , detailed pupils , unreal engine ,
Hyper-realistic , front-view close-up portrait of a furious Viking bursting into flames , smoke , embers , (symmetrical composition) , (eye contact) , epic , celestial , moody , cinematic lighting , lens flare , highly detailed , sharp focus , octane render , HDRI , intense , dramatic , warm colors , fiery effect , professional , 35mm , 8k , IMAX , (mouth closed) , viking helmet on his head , dark studio , low key , high contrast , dark background , flawless detail , award-winning , expertly crafted , detailed pupils , unreal engine ,
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Deep beneath the shimmering waves , hidden within an enchanted cove , lies The Ocean’s Mirror—a mystical water surface that reflects visions of the human world. This sacred place glows with an ethereal blue light , its surface undisturbed except for the soft ripples of magic swirling within it. As a group of mermaids gathers around , their luminous tails casting a mesmerizing glow , the mirror begins to shimmer , revealing glimpses of distant lands , bustling cities , and the faces of humans they long to understand. The ocean surrounding them is alive with enchantment—schools of glowing fish swirl in elegant patterns , and delicate strands of luminescent seaweed drift like whispers of an ancient spell. Above , the light from the full moon pierces through the water , creating shimmering beams that dance across the mirror’s surface. Tiny glowing jellyfish float around like celestial lanterns , adding to the dreamlike atmosphere. One mermaid , adorned with a crown of pearls and flowing silken fins , reaches out toward the mirror , her fingertips causing gentle ripples as she gazes at a distant shore where a human walks alone beneath the stars. Her expression is a mixture of wonder and longing , as if the ocean itself is whispering a story only she can hear. Beyond the mirror , mystical creatures of the deep watch in silent reverence—seahorses with jeweled scales , silver-finned dolphins leaping in slow , graceful arcs , and ancient coral structures pulsing with hidden magic. A soft melody , carried by the currents , hums in the background , as if the ocean itself sings of love , mystery , and the unbreakable bond between the two worlds. The entire scene feels like a dream—a timeless place where the sea and sky intertwine , where mermaids glimpse the lives of those who walk the earth , and where magic lingers in every ripple of water. ,
A full-body stylized cartoon illustration of a cute centaur-like girl with a calm yet innocent expression , standing peacefully with a headpiece designed to resemble a small bird sleeping atop her head. Her upper body remains human , while her lower body takes on a centaur form with four short , fluffy , feather-covered legs , making her appear more adorable. The feathers on her body and legs flow seamlessly from her outfit , creating a harmonious , soft , and playful look. The outfit is designed with a feathery texture in pastel tones of white , silver , and subtle neon accents , enhancing her gentle , whimsical appearance. Her long , flowing hair integrates beautifully with the soft , feathery details of her form , giving her a dreamy and fantastical aura. She stands in a relaxed yet playful pose , surrounded by a soft , warm background that enhances the cute and magical atmosphere. The art style is whimsical and expressive , with smooth , clean lines and a chibi-inspired touch. blindbox 3d art style ,
A full-body stylized cartoon illustration of a cute centaur-like girl with a calm yet innocent expression , standing peacefully with a headpiece designed to resemble a small bird sleeping atop her head. Her upper body remains human , while her lower body takes on a centaur form with four short , fluffy , feather-covered legs , making her appear more adorable. The feathers on her body and legs flow seamlessly from her outfit , creating a harmonious , soft , and playful look. The outfit is designed with a feathery texture in pastel tones of white , silver , and subtle neon accents , enhancing her gentle , whimsical appearance. Her long , flowing hair integrates beautifully with the soft , feathery details of her form , giving her a dreamy and fantastical aura. She stands in a relaxed yet playful pose , surrounded by a soft , warm background that enhances the cute and magical atmosphere. The art style is whimsical and expressive , with smooth , clean lines and a chibi-inspired touch. blindbox 3d art style ,