Hey everyone! For a school project, I need to create a program, and I'm thinking about developing a bot that can analyze specific data I upload and provide real-time feedback. I'm pretty new to this area and could use some guidance. I'd love to learn how similar programs work and get a grasp on machine learning. What resources or learning paths should I consider, and what's the best programming language for this? I have some experience with C and a little Python, but I'm open to learning more if needed. Any tips would be greatly appreciated! Thanks!
2 Answers
Machine learning combines statistics, data science, and computer science, and it can seem complex at first. Generally, you'd need a strong foundation in a related field, but many self-taught programmers have succeeded in ML, so if you put in the time and effort, you can definitely learn it on your own! Starting with online courses or books focusing on Python for machine learning is a great idea.
Absolutely! There are plenty of free resources online like Coursera, Udacity, or even YouTube tutorials that teach Python and machine learning concepts tailored for beginners.
Creating a bot that analyzes uploaded information sounds interesting! Just so you know, the term 'bot' can mean different things—usually it refers to something that automates tasks over the internet. Regarding real-time analysis, if you want your program to adapt and improve as you feed it more data, that's definitely doable but requires a good understanding of machine learning concepts. I recommend starting with Python; it has great libraries for machine learning like TensorFlow and scikit-learn.
Totally! Python is widely used for these kinds of tasks. Plus, there are tons of tutorials available to help you get started.
Thanks for clarifying! I meant that I want it to continually improve its outcomes as I provide more data. I plan to analyze graphs and maybe images. Do you still think Python is a good choice for this?
Is it realistic to learn everything I need without formal education, given I have plenty of time? What resources would you recommend?