The-10-Best-AI-And-Data-Science-Master-s-Courses-For-2021/960×0.jpg
Please use your reply to this blog post to detail the following:
- Please give a full description of your final project. Based on your prior work this semester, what made you pick this as your project?
- What was your desired learning outcome of your choice of final project?
- What has been the most useful aspect of this class? Learning more about Python, GitHub, PyCharm, AI, ML, or …? You decide and please explain why.
- Do you feel your work this semester, as summarized by your choice of final project, has helped you better understand some of the foundations of ML and AI?
- Do you see yourself pursuing data/analytical sciences coursework once you get to college? Do you anticipate being ahead of some of your classmates thanks to the things you studied this semester?
- Include your Github repo URL so your classmates can look at your code.
- Of all of the projects you or your classmates created this semester, which one was your favorite, and why?
Take the time to look through the project posts of your classmates. If you saw any project or project descriptions that pique your interest, please reply or respond to their post with feedback. Constructive criticism is allowed, but please keep your comments civil.
THANKS FOR TAKING THE COURSE!!!
1. My final project was a spotify playlist generator that takes your recently listened to music, analyzes it, and then creates a playlist based off its recommendations directly in spotify. I picked this project because I wanted to learn more about interacting with libraries and apis and I didn’t really know what else to do.
2. I wanted to learn more about feature extraction from data for model training as well as learning how to use clients and apis better.
3. The most useful aspect of this class has been the environment. I have loved learning about everything but I feel like this class is always fun to come to and I can get advice and give feedback to my classmates so we can all improve. I’m glad I have a better understanding of AI/ML. It definetely feels less scary now that I have made some of my own models.
4. I definetely feel like my work this semester has helped me better understand some of the foundations of ML and AI. AI seems scary because when most people think of it the first thing that comes to mind are these large models like chat and stuff and it seems daunting and not much is known about them. I think I have a better understanding of what MLAI actually means and interacting with actual models and creating them seems much less intimidating.
5. After taking this class, I think I see myself pursuing something having to do with what we did this semester. Probably not as my major, but this has been a lot of fun and interesting and it would be fun to continue on this pathway on the side.
6. https://github.com/nataliemcwhorter/Project04_Spotify.git
7. My favorite project that someone created was probably valen’s mountain trail creator because it was insanely cool and crazy.
Please give a full description of your final project. Based on your prior work this semester, what made you pick this as your project?
I made a 2.0 improved version of my Lunar Lander pygame project. The lander starts in a position set by the map editor and has to land on a landing pad in the custom map without crashing or running out of fuel. There is a map editor for making custom maps, and the user can play the maps manually or train and then watch the AI model play them. I picked it because I enjoyed working on the original version and wanted to add tighter “cave” maps which would be a real challenge for the AI.
What was your desired learning outcome of your choice of final project?
To create a terrain aware AI that can traverse complex maps through tight gaps.
What has been the most useful aspect of this class? Learning more about Python, GitHub, PyCharm, AI, ML, or …? You decide and please explain why.
Learning about Python at a higher level than intro has been huge, also learning to use VSCode since I didn’t use it that much before was useful. That said, learning about ML was probably the most useful, as I feel like I have a better understanding of the foundational processes, especially for RL and A*.
Do you feel your work this semester, as summarized by your choice of final project, has helped you better understand some of the foundations of ML and AI?
Yes, I feel like I have not only a good foundational understanding of ML but even some more advanced understanding of RL which I used in my final project.
Do you see yourself pursuing data/analytical sciences coursework once you get to college? Do you anticipate being ahead of some of your classmates thanks to the things you studied this semester?
I would love to take more programming classes in college (specifically I’d like to learn assembly), so I think that the programming classes I’ve taken the past three years at DA will definitely help me.
Include your Github repo URL so your classmates can look at your code.
https://github.com/Freedomplaza/Proj02_PygAIme
Of all of the projects you or your classmates created this semester, which one was your favorite, and why?
Definitely this final project, it was a cool game and fun to play. Also it was super satisfying to see it all come together at the end.
Please give a full description of your final project. Based on your prior work this semester, what made you pick this as your project?
— College Counselor AI is a machine learning–based recommendation system designed to help high school students decide where to apply Early Decision (ED). My first project for this course was an AI house price predictor. My favorite part about AI is how you are able to give it certain features, preferences, and attributes and receive a prediction or recommendation. I wanted to do something related to my house price predictor but I realized that I didn’t care as much about house price predictions as I thought I did. Since college was the only thing on my mind and I haven’t loved certain recommendations I’ve gotten, I thought this would be the perfect project.
What was your desired learning outcome of your choice of final project?
— Honestly I just wanted to put in my stats and see what it gives me and I was honestly super pleased with my results. My top recommendation is literally one of my top three schools so I was super impressed and super pleased. My main desired outcome is to be able to provide a source to recommend colleges that is unbias. College counselors are bias because they make money off of what they do so they don’t want to recommend you colleges that you won’t get into because it makes them look bad. This does not have the same bias.
What has been the most useful aspect of this class? Learning more about Python, GitHub, PyCharm, AI, ML, or …? You decide and please explain why.
— Learning more about ML. That was what I was most inexperienced and what I felt was most important in the class.
Do you feel your work this semester, as summarized by your choice of final project, has helped you better understand some of the foundations of ML and AI?
— I was very inexperienced with usage of AI, so I definitely learned a lot. I feel as if I learned most through the pathfinding project because the project itself and the visualization was simple and so I feel as if I really got to deep dive into what is actually happening and what the AI is doing. Generally, I also just learned a lot about dataset implementation and how to create models for predictor algorithms.
Do you see yourself pursuing data/analytical sciences coursework once you get to college? Do you anticipate being ahead of some of your classmates thanks to the things you studied this semester?
— Absolutely. At the end of the day taking courses in python, java, and etc is becoming more and more useless each day because of the increase of usage of AI. AI is able to do everything now so what is most important is being able to use AI.
Include your Github repo URL so your classmates can look at your code.
— https://github.com/Emma-Bernstein18/Project04_FinalProject
Of all of the projects you or your classmates created this semester, which one was your favorite, and why?
— I really liked Lance’s project for the pathfinding project. I thought it was such a creative way to think about pathfinding and something really original but also simple to understand and visualize.
1. Please give a full description of your final project. Based on your prior work this semester, what made you pick this as your project?
My project was to build a model that could accurately provide the scansion of a given line of Latin hexameter poetry. The models were specifically tailored to a competitive site, Hexameter.co, so they returned just the first 4 feet and not the full 6 feet. I chose this project because it’s the same one that I started with. The first attempt resulted in poor performance and used simplistic models. I wanted to act on the future goals I had set at the end of the project, specifically to improve the accuracy of the models by using Neural Networks and Transformers.
2. What was the desired learning outcome of your choice of final project?
I wanted to test out new methods of building a Hexameter bot(i.e., learn which type of model is the best). I also wanted to learn how NNs and transformers work (the theory and application). I focused more on the theory, with the intent that as I continue to work on this project and become less reliant on AI, I will learn the application part.
3. What has been the most useful aspect of this class? Learning more about Python, GitHub, PyCharm, AI, ML, or …? You decide, and please explain why.
It depends on what ‘useful’ is. For my future in general, I think the skill-building behind having to learn a topic I know nothing about and overcome a steep learning curve over and over, and then having to present that information to a group of people in an understandable way. The skillbuilding of workign with AI, learning what I can trust, correct(manually sometimes) when it makes a change i don’t want, etc.
However, since I do plan to code(for fun) in the future, I think learning Python has been the most useful. I’ve increased my versatility of it, strengthened by a basic understanding of its structure, and know more about essential external packages and how to use them.
4. Do you feel your work this semester, as summarized by your choice of final project, has helped you better understand some of the foundations of ML and AI?
Yes. While my ability to work with the code for the ML is still limited, I understand multiple types of ML models and the correct situations to use them. The reason I chose completely new models for my final project was that I was already confident in my understanding of models I’d previously made and didn’t feel the need to return to them.
5. Do you see yourself pursuing data/analytical sciences coursework once you get to college? Do you anticipate being ahead of some of your classmates thanks to the things you studied this semester?
I don’t think so, but there is a chance. My major is going to be in humanities, but I might minor or double major in Mathematics, and from what I’ve heard, most Math majors end up taking some data/analytical sciences classes. For next semester, I’m not sure if I will be, since I think data structure is C++. However, the soft skills that I talked about in q.3 probably will be handy, and maybe having to learn python on the go might set me up for a simular experience with C++.
6. Include your GitHub repo URL so your classmates can look at your code.
https://github.com/LanceHackman/Project04_ML.git
7. Of all of the projects you or your classmates created this semester, which one was your favorite, and why?
Probably my final Hexameter project or Valen’s A-star project. It was super satisfying to see the months I poured into an idea I started over a year ago finally churn out super accurate results, especially after the dissapointments of my first project in this class, which was my first serious attempt to work AI into the project. I thought the coolest project was Valen’s hiking project. The level of detail put into it was super impressive. The best part of it was that it felt very real and something that I would find useful in my life, something none of my projects provided.
Please give a full description of your final project. Based on your prior work this semester, what made you pick this as your project?
I’ve always been really interested in computer science that interfaces with the real world, which has been kind of a theme through my projects (with the exception of the PyGame project). Biology feels like a really concrete and cool way to apply ML principles to issues that other people face, which is something that I think my other projects have lacked: football defense is maybe not the most significant challenge in the world.
What was your desired learning outcome of your choice of final project?
I really wanted to learn more about the process of doing research for computer science, reading papers and doing things in a more experimental way, which is what led me to conducting more of an experiment rather than just getting the highest possible accuracy.
What has been the most useful aspect of this class? Learning more about Python, GitHub, PyCharm, AI, ML, or …? You decide and please explain why.
I would say ML is obviously a big benefit of this class because it is so relevant in the world around us and it will continue to be in the future, but one of the biggest things I’ve learned is GitHub and documentation. This was a big change from last year’s class in that I was actually completing individual projects and so being sort of forced to make my code readable was important and making ReadMes was actually one of my favorite parts of the project. It is great to have well-documented, professional-looking projects on my profile because it is really good practice for the future.
Do you feel your work this semester, as summarized by your choice of final project, has helped you better understand some of the foundations of ML and AI?
Definitely, I think I have a much better understanding of the principles behind different types of ML models, not just simple neural networks. Over the course of the semester I have had the chance to explore neural networks, reinforcement learning, convolutional networks, GNNs, and some regression models, which has really diversified my knowledge.
Do you see yourself pursuing data/analytical sciences coursework once you get to college? Do you anticipate being ahead of some of your classmates thanks to the things you studied this semester?
Definitely, and I think this capstone project has led me towards pursuing biological data classes. Bioinformatics is becoming one of my biggest passions and this project was really fundamental for me understanding that. From what I’ve seen of college CS classes, CS at DA has prepared us really well for excelling in those programs.
Include your Github repo URL so your classmates can look at your code.
https://github.com/valenmoore/BACH_CNN.git
Of all of the projects you or your classmates created this semester, which one was your favorite, and why?
I think Lance’s hexameter thing was my favorite. First of all I thought it was really cool that it interfaced directly with a website and was able to interact with buttons on the screen. But it was also just extremely impressive in terms of the Latin application because I really like seeing people pursue their knowledges and interests with coding. Also, his dedication to it throughout the year was really impressive, even though I didn’t get to see the final presentation it sounds like it worked very well towards the end of the year.