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Basic training for machine learning?
If you do not want to read all this scribble - read only the question and the text in bold.
I study at the university (I finished my second year, specialty - computer science) and set out to choose the sphere of my future activity. At the VNZ, at the moment, from the skills I received only programming skills in the C # language (well, like at the university, I read Shield and Troelsen and fixed it with a small project). Now I have built myself such a training program:
- Algorithms
- Discrete Mathematics
- Theory of Computing
- Architecture
- OS
- Databases
- And finally AI itself, and after that specialization in ML.
I plan to study only according to textbooks from practice, I do each exercise.
I ask you to supplement the program according to your experience (it is possible to suggest a sequence, and so on
)
The title is a little flashy interests of course, may still change, but initially the goal is just that.
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You may be surprised, but not a single point will bring you close to machine learning. You seem to have a bad idea of what machine learning is. Start with this book dmkpress.com/catalog/computer/statistics/978-5-970... looking at the original to learn the terms in English so you can google questions later. After reading the book, your plan will change - this is normal.
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