Mathematics for Machine Learning in 90 Minutes | obscure | Machine Learning AI
Автор: Obscure
Загружено: 2020-09-16
Просмотров: 34
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Mathematics for Machine Learning in 90 Minutes
Mathematics are the prerequisites for machine learning because machine learning is math. The computer is only useful to do the calculus.
You'll mainly need to learn calculus, matrix calculation, linear and non linear algebra, statistics and graph calculus.
Let's take a basic ML algorithm, the linear regression.
The goal is to use some data to find a function which takes parameters and gives an output. Data are used to find the function and test it. In the future, we will use the function with some parameters and we will obtain an approximate output.
𝗔𝗴𝗲𝗻𝗱𝗮:
1. Why mathematics in Machine Learning?
2. Linear Algebra
3. Multivariate Calculus
4. Probability
5. Statistics
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