在 英语 中使用 Linear algebra 的示例及其翻译为 中文
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Your interviewer may ask you some basic multivariable calculus or linear algebra questions, since they form the basis of a lot of these techniques.
Computer scientists and traditional engineers need to speak the same language- a language rooted in real analysis, linear algebra, probability and physics.
To measure application performance, the researchers chose seven different benchmarks that spanned physics simulations, machine learning, linear algebra, medical imaging, graph coloring, and social media.
Historically coquaternions preceded Cayley's matrix algebra; coquaternions(along with quaternions and tessarines) evoked the broader linear algebra.
It provides hardware-accelerated linear algebra operations and an eager API for automatic differentiation.
Spark MLlib is written in Scala, and uses the linear algebra package Breeze.
You should be familiar with basic linear algebra, Python and the Jupyter Notebook editor.
Quantitative methods(business calculus, linear algebra, statistics) is a prerequisite to the program.
Thus NumPy contains some linear algebra functions, even though these more properly belong in SciPy.
You will learn to perform linear algebra in Python and make analysis by using inferential statistics.
At a minimum, you should have covered probability and statistics, multivariable calculus, and linear algebra.
Generally, statistics and linear algebra can be employed in some way for each of these questions.
At a minimum, you should have covered probability and statistics, multivariable calculus, and linear algebra.
Generally, statistics and linear algebra can be employed in some way for each of these questions.
Generally, statistics and linear algebra can be employed in some way for each of these questions.
In linear algebra, the n× n identity matrix I has entries equal to the Kronecker delta.
I have linear algebra, science, physics, even nowadays, chemistry and biology, as you have seen.
Linear algebra: all basic operations rely on the netlib-java library, making Breeze extremely fast for algebraic computations.
That background should include coursework in signals and systems, linear algebra, scientific programming, and probability and statistics.
For years physicists have used important theorems in linear algebra to quickly calculate solutions to the most complicated problems.