![]() ![]() ![]() Anyone with a solid programming foundation can become a good machine learning engineer using ready-made tools, libraries, and models. Machine learning consists of several algorithms suited for different real-life problems. When should you learn Linear Algebra for Machine Learning? However, things changed when I decided to learn Computer Science and found out that mathematics is the bedrock of my field of interest - Machine Learning. Up until this year, I never saw any real-life applications of my mathematics knowledge. ![]() At that time, it seemed very absurd to learn such a thing and I lost my interest in math. I even participated in a bunch of maths competitions and won a few.īut when it came to vectors, I simply could not understand how lines with pointy tips could have applications in real life (I won’t blame anyone for not explaining). The reason was that I actually really liked mathematics and was good with numbers. In school, whenever a teacher introduced some big topic in maths, they always said that the concept is very important in real life and I should learn it. This was when I thought that I was done with mathematics for good. “Vector is a line segment which has both a direction and a magnitude.” About 4 or 5 years ago, I am sitting in a math class and the teacher is introducing the topic of vectors for the first time.
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