91: Large Language Models Large language models, or LLMs, represent a notable advancement in the field of artificial intelligence. These models are a central topic of any discussion of generative AI which aims to provide an introduction to their workings and significance. Understanding LLMs involves grasping their fundamental principles and the components that enable their Read More
AI Literate or AI Idiot The title of this post deserves an explanation. I wish I were sufficiently clever to have come up with it, but it was crafted by a student. Ernie is a community college student who chairs the Artificial Intelligence Club at the school and has been a collaborator in our efforts Read More
In today’s world, data is often described as the new oil – a valuable resource capable of driving innovation and fueling business decisions. As a data professional, understanding how to collect, analyze, and report on this data is at the center of your work. However, equally important, and perhaps less discussed, is the critical role Read More
Yet another post for data analytics students As a data analyst, your work isn’t finished until you can effectively communicate your findings. Reports are the primary tool for sharing the results of your analysis with others. However, not all reports are created equal, and choosing the right type is crucial for conveying your insights clearly Read More
78: Generative and Traditional AI Artificial intelligence (AI) has been a part of our lives for years, quietly powering everything from search engines and product recommendations to curated music playlists and predictive text on our phones. Recently, however, the world has been active with discussions about AI, specifically generative AI, which has captured public interest Read More
another in my series of posts for students in data analytics class In the realm of data analysis, we often want to determine if there are meaningful connections between different categories or if a sample of data accurately reflects a larger population. This is where chi-squared tests come into play, offering powerful tools for analyzing Read More
Have you ever wondered if you could predict the future based on past data? While a crystal ball might be appealing, the world of data analytics offers a powerful and practical tool for making predictions: linear regression. In this blog post, we’ll delve into the fundamentals of this essential technique. At its core, simple linear Read More
In the ever-evolving landscape of cybersecurity, knowing your weaknesses is a strength. Organizations invest heavily in building robust defenses, but hidden vulnerabilities can still provide attackers with entry points. Vulnerability scanning is a proactive process that helps identify these weaknesses before they can be exploited, acting like a digital health check for your systems. Executing Read More
In today’s interconnected world, an organization’s digital presence extends far beyond its central servers. Laptops, desktops, smartphones, and tablets, collectively known as endpoints, are essential for productivity but also represent significant entry points for security threats. Effectively managing these endpoints is vital for maintaining a robust security posture and protecting sensitive information. One fundamental aspect Read More
more for data analytics students, but you can read it too In the realm of data analysis, we often move beyond simply describing our data to trying to understand and even predict future outcomes. One of the foundational techniques for this is simple linear regression. As the name suggests, it’s a straightforward method focused on Read More