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Showing posts from January, 2025

Understanding Data

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Chapter 3 describes the sources and nature of data in some detail: how data is generated and what affects data quality. Data may originate from transaction systems, sensors, social media sites, or crowdsourcing. It comes in different forms, such as structured and unstructured data; it may be updated in real time or periodically and may have variable accuracy. The nature of the source, whether it be a person or device, is relevant to understand the type of processing and analysis that will be conducted. Also, the method of collection, whether it be through survey, sensor, or third-party aggregator, affects the completeness and representativeness of the data, which in turn impacts the reliability of any insights drawn from it. Chapter 4 looks into the destination of data-data pipelines, data warehousing, and modern data infrastructure. Data pipelines are the frameworks that enable raw data to flow from its source to its destination, often requiring multistage transformations, cleaning, a...

Generative AI vs Predictive AI

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Generative and Predictive AI are two strong domains of the technology of artificial intelligence that serve different purposes. Generative AI is actually a class of AI that deals with creating new content from already existing material. It learns patterns from input and generates novel outputs, including text, images, or music. For example, AI systems like OpenAI's GPT can write human-like text, whereas tools such as DALL·E create images from textual prompts. This type of AI finds its utilization in content creation, entertainment, and design. Predictive AI makes use of historical data to predict the future. It discovers trends and patterns that allow the prediction of what is likely to happen next. Predictive AI has therefore been of immense value in sectors like finance, healthcare, and retail. Examples are that AI models predict loan defaults, medical conditions, and consumer behavior. While generative AI is about innovation and creation, predictive AI is about data-driven fores...

Week 1 Intro

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   Hello, my name is Mariana Meraz, and I am currently a senior at Benedictine University in Mesa, majoring in Accounting. In addition to my academic pursuits, I have the honor of serving as the president of the Rotaract Club, collaborating closely with the Rotary Club of Mesa. Outside of my studies, I am deeply committed to giving back to the community. I actively volunteer for various projects and am currently involved with an organization that helps low-income families file their taxes for free. I am passionate about using my skills and time to make a positive impact on those in need.