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Week 7 - BALT 4364 - Comparisons & ~The Future~

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PyTorch & TensorFlow Both of these are open-source deep learning frameworks that have been extremely popular in the ML and AI field. Each has its own benefits and can be used by people with different preferences. For example, TensorFlow was developed by Google (2015), while PyTorch was developed by Facebook (their AI research lab known as FAIR)(2016). TensorFlow is larger with more of a community, while PyTorch has been growing in popularity due to its library of resources currently being developed. Another aspect of why PyTorch has been on the rise is its ease of debugging, where the original TensorFlow was much harder to debug (now easier with version 2.0). Although when it comes to overall performance, TensorFlow is the faster of the two and can utilize performance optimizations. This isn't to say PyTorch is slow, as it's more than capable, but when comparing the two, Google has them beat. At the end of the day, trying both options for yourself will help you better under...

Week 6 - BALT 4364 - PyTorch

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PyTorch Pytorch is an open-source ML library associated with fast.ai and developed with Facebook's AI research lab, FAIR. Tensors are the building blocks that store multi-dimensional arrays of numerical data, similar to NumPy but leveraged with graphics processing power (GPU). To create a tensor, use the torch.tensor() function. Using Google Colab, it would look something like this:

Week 5 - BALT 4364 - Natural Language Processing

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NPL Natural Language Processing (NLP) is a branch of AI that focuses on understanding how humans communicate—hence the name. NLP is particularly valuable in industries that rely heavily on qualitative analysis. For instance, in my current role in market research, we conduct interviews with foodservice professionals, such as chefs and food scientists, to gather their feedback on various products. Capturing and analyzing all of that information manually is time-consuming and often overwhelming, but NLP significantly streamlines the process. We use a program called TurboScribe to transcribe each interview within minutes, though there are many similar tools available. One feature we appreciate most about TurboScribe is its ability to identify individual speakers and organize the transcript into clear sections, rather than producing a continuous block of text. It also allows us to click on any part of the transcript and hear the corresponding audio, perfectly synced, which makes verifying a...

Week 4 - BALT 4364 - Real World AI Use Case

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YouTube TV Problem & AI Fix I was able to use AI to fix a real-world problem with my YouTube TV subscription. The problem I was having was that every time I would open YouTube TV, there would be two scrollbars on the right-hand side of the screen. Anyone familiar with the application understands that it's used to navigate to different content, etc. Except, the problem would persist when I enter full-screen mode. As the owner of an OLED monitor, I’m very aware of the risk of image burn-in, a well-known issue with OLED technology. Burn-in, also known as image retention, occurs when a static image remains on the screen for an extended period, causing certain pixels to degrade faster than others. This happens because OLED displays use individually lit pixels to produce images, unlike traditional LCD screens that rely on a uniform backlight. While OLEDs are capable of delivering stunning visuals with deep blacks and extremely high contrast ratios, making them ideal for watching movi...

Week 3 - BALT 4364 - Career Reconsideration

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Career Path Over the past few years, taking AI courses with Todd Kelsey, I have begun to reconsider the career path I'm currently on and how I can leverage my skills to attain better jobs in the future. Professor Kelsey's Google Doc shows that underemployment data and how 57% of Business majors are underemployed, five years after graduation. There is a lot to consider when shifting your career path; however, attaining a Master's degree is one of the best ways. Traditionally, most have considered a Master's in Business Administration (MBA), but with how prevalent AI is proving to be, a Master's in AI could be the better route. For me personally, my undergraduate degree is in Business Administration, and I feel like a Master's in AI would differentiate me from those with an MBA.  There are also many other ways to approach this, as there are Coursera courses available to take where you could gain similar skills to showcase and apply in the workplace. Although the r...

Week 2 - BALT 4364 - Print Statement & Comments

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Print Statement & Comments Week 2 introduced coding in Google Colab which is an introduction to Python. This can be extremely useful to learn Python because all the code runs in the cloud which means users don't have to install software locally. Google Colab can also run other languages, however, it requires a little bit of additional setup. Boot.dev A resource I've been seeing pop up in ads has been Boot.dev to learn back-end web development. It covers Python, Linux, Git, plus many others and is a self-paced approach to learning coding. The cool thing about it and what interested me in the first place was the RPG (role-playing game) style where users can earn achievements and take different paths in their learning. Users can earn XP and achievements to give them the same feelings they would get from playing a similar adventure game while learning at the same time. Boot.dev covers the same print statements and comments as Google Colab would but in more of a guided approach...

Week 1 - BALT 4364 - Intro

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Hello everyone, my name is Max Welu and I'm in my final semester at Benedictine. This is the fourth and final AI course I'm taking with Todd, and to be honest, I'm disappointed it's coming to an end. I think everyone taking his courses is setting themselves up to learn instrumental skills that will help land jobs. I currently work for a market research company in Oak Brook, IL and the skills I've learned have paid dividends when it comes to quantitative and qualitative analysis. Trust me when I say that AI is becoming an industry standard and will make your job easier. Aside from work, I enjoy playing golf on the weekends, working on my car, listening to music, and playing video games. I'm looking forward to another great class learning AI and networking with other classmates. Here's a picture of me playing "chef" at work, enjoy!