You can use common tools and frameworks without math knowledge. Math is needed though if you want to be able to make a breakthrough (that is to even have a chance).

You also can concentrate on computer science stuff instead of math and go into optimizing learning process and inference, it is highly in demand right now.

Calculus, linear algebra and statistics are a must in ML, which are almost always taught at 11th or 12th grade (at least in my country). So I'd recommend not to worry about math immediately. Best thing you can do is to see what you can build with what you know TODAY. If it doesn't satisfy you, you'll immediately know what you should learn next. As an added bonus, anything math-related you learn about ML will probably help you at school too.

I'm not sure about ML, but you can start learning DL from the programming perspective and get a grasp of math background along the way. There is even a course and a book for coders who want to dive into deep learning.

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go to coursera and pick an ML course and start watching it. As soon as you don't understand something, pause and go down a rabbit hole to figure out what you need to learn to understand it

There’s also the option of doing something like www.code.org/ai. Code.org is a good and free self-teaching curriculum. We use it at the high school I volunteer to help teaching.

Start learning the math right away. Get ahead while you can

You should get a good study routine. Unless you have some form of disability, getting good at math is just about playing with math.

I would start with learning programming very well. On the side you can learn necessary math on school and from youtube. For calculus i recommend professor Leonard. If you dont have good foundations he start from i guess literally adding numbers. You will need good software skills anyways and you can do it without math. Create a website to show your future projects. Solve some programming problems in codewars etc. Programming language is not that important you just need to get used to abstract thinking. You can embed some AI models from OpenAI etc. to your website with their public API's.

When you know enough calculus, you can dive into ML theory with good skills in your belt. Eventually you can implement research papers and become a research engineer to work on cutting edge development in ML world. When you know some calculus i suggest you to watch Tesla AI ex-Lead Engineer Andrej Karpathy's lectures, he also briefly mentions relevant calculus. Before Karpathy i recommend you neural nets from scratch series in youtube.

Just start learning college math now instead of waiting ..

implement whatever you can. math be damned. you can always learn the math when you need to explain what you've done :)

40 and bad at math. you’ve got time. good luck.

DM me. I can help you create a model so you can see for yourself. Honestly you just need to simplify your data(looks like excel spreadsheet). And learn how to interpret graphs(confusion matrix, roc curve, feature rankinga, MDA value etc). Basically like 3/4 chapters out of stat book. And I have high level machine learning model project and interpretation by professionals including myself to share. But all in all ofcourse knowing the math deepens your understanding. But is not quite necessary to createand interpret a model. As I am currently obtaining my AI and ethics grad cert. Along with among other ai/ machine learning classes.