3 ms·
You can use a framework, copy some examples and "create" your own AI. You don't need maths for it, just follow some steps from the examples. But you only be abl
by jorgemf 9y ago
You can use a framework, copy some examples and "create" your own AI. You don't need maths for it, just follow some steps from the examples. But you only be able to copy other things, if you want to go one step ahead and use the latest research you need to understand some math and get some general knowledge of the machine learning algorithms you are using. To create something new, you definitely need maths. I don't see anyone creating a new algorithms without knowledge of algebra and other topics.
- jacquesm 9y agoI know plenty of people that have built interesting software using the JPEG compressor, I know only a handful that would be able to explain to you in detail how the DCT powering it works and why it is able to achieve the compression ratio that it does. Obviously being able to understand all that will give you an advantage but for most 'mortals' jpeg_compress and jpeg_decompress is all they need to be productive. fast.ai aims to bring a similar high level of understanding first and then backs that up with the basic principles of the theory being machine learning rounded off with a bunch of real world examples in code of classes of problems that you are likely to encounter.
- jorgemf 9y agoI don't understand how your comment relates to mine. isn't it more or less what I said? you can use the frameworks and copy the examples like using a jpeg compressor for compressing what ever you want. But without the maths it is very unlikely you will go further (for example: not even going from a single label classifier to a multilabel). About fast.ai, I would want to know those basic principles about deep learning and neural networks. I don't see them so basic unless you have a good background in algebra, optimization, statistics and the scientific method.