James McDonald

 Week 7 - BALT 4396 - AI Reshaping Tech Careers and What Students Should Do About it (Image created by ChatGPT) This week in BALT 4363 , we discussed the future of coding. This is getting business applications and getting an MA in AI. Let’s be real: the future of tech jobs is changing fast. Thanks to AI tools like Replit, Lovable, and a hundred others popping up every month, building apps isn’t about grinding through every line of code anymore. It’s about orchestrating, setting business goals and using AI to make it happen. As one expert put it, coding is becoming more like supervision. You’re not just a builder; you’re the architect, asking what should we build? and how will it actually help people? So, what does this mean if you’re studying computer science or thinking about it? You absolutely still should. The core skills—breaking problems down, modeling solutions, understanding users—are more valuable than ever. But it’s not just about pure tech anymore. CS students should get ...

 Week 6 - New Tools in AI This week, I got to learn about a cool new tool in AI, Replit. Replit is a super cool tool. It is an automated app developer. It has a similar UI as RStudio and PowerBI, making it super easy to use if you have some coding experience. However, the coolest part about this tool is that you do not need much coding experience to be able to use it. Simply give it a prompt, and you will work together with the tool to create an app that works for you. Starting out with a development phase, test phase and a usage phase, you can work real time with AI to create a well functioning app. Given this experience, I decided to write this weeks blog post by working with AI, about the new tool in AI. I worked with OpenAI to create an image about Replit, and worked with it to create the actual blog post.  ChatGPT Response: Replit: Coding Without the Chaos If you’ve ever tried to start coding and felt overwhelmed by things like setting up environments, downloading package...

Probability and Statistics for Data Science  (image created using Canva AI) This week I decided to write my blog on the chapter we went over. I absolutely love everything to do with data science. However, there are about three main points that are my favorite. Visualizations top the chart, then analyzing statistics, and then probability. During this chapter, we went over both probability and statistics, so I loved the reading.  The first topic covered was descriptive statistics. Some common descriptive statistics are mean, median, modem standard deviation, etc. These are statistics that we have seen since a young age, and continue to be a prominent statistic as we grow older and get in higher levels of math, in either school or the workplace. All of these statistics are highly important and they can all give us important information. Such as average age of employees at your company, or the median value of a certain dataset. We then move on to probability. Probability distribut...

   Maca Juto Kasi Scoto Gethido For week 4 in BALT 4363 , I decided to change my focus for this blog. In our reading, we learned about linear algebra for data science. Learning linear algebra allows you to manipulate and organize your data in a more efficient manner. An example of this is using vectors. I have used vectors in RStudio in order to better organize my data. The example used in our reading is by taking two values of a house, the size of the house in square feet and the number of bedrooms. Using a vector would put this as "house = [1500,3]. Understanding this topic is very important, however, I want to shit my focus in this blog to discussing Maca Juto Kasis Scoto Gethido. This is an acronym that starts out with Maca Juto, which is basically just saying that math and coding are just tools. You don't have to have everything memorized, but having the basic principle of it understood is essential. The world is evolving, and using AI is very important, but having a...