Hey there, fellow high schooler! I’m excited to hear that you’re interested in machine learning for medical research. That’s a fascinating field with a lot of potential to make a real impact.
You’re on the right track by planning to take precalc over the summer and calculus next year. Math is a crucial foundation for machine learning, so it’s great that you’re prioritizing it.
Now, about learning machine learning itself… You’re right to wonder if you need to learn the math before diving into ML. The short answer is yes, having a solid understanding of math concepts like linear algebra, calculus, and probability will definitely help you grasp machine learning concepts more easily.
That being said, you don’t need to be a math expert to start exploring machine learning. You can start with the basics of ML and gradually build your math skills as you go along.
The ‘109 days of ML’ course on YouTube is a great resource to get started. If you’re looking for alternatives, you might want to check out other online courses like Coursera’s Machine Learning course or edX’s Python for Data Science course.
Additionally, you can start reading books like ‘Python Machine Learning’ by Sebastian Raschka or ‘Deep Learning’ by Ian Goodfellow, Yoshua Bengio, and Aaron Courville.
Remember, the key is to be consistent and persistent in your learning journey. Don’t be afraid to ask for help or seek out resources when you get stuck.
Lastly, it’s awesome that you’re thinking about applying machine learning to medical research. There are so many potential applications, from disease diagnosis to personalized medicine. Keep exploring and who knows, maybe one day you’ll make a groundbreaking discovery!