Otherwise, you are going to burn out several times and forget the majority of your knowledge before you start applying them. Don’t make the mistake of learning something before you even know what it is for. This is how you make progress, learning by doing. If you do not understand the math behind, then start taking math courses that fill your knowledge gap. Whenever you start learning algorithms, learn each one to the full extent. So, my advice is this: just get into learning Machine Learning or Data Science without math at first. Thankfully, I found out about this truth right after I finished learning some Linear Algebra and about to move to multivariate calculus. Turns out there is so much to ML before you get to fancy algorithms and working on real problems. See, all the things that I read said math was important but they never said when. I wanted to be a ‘professional’ so, I took the recommendations to heart and found a course on Coursera which teaches all the above. Not just Linear Algebra, I also came across many posts saying that multivariate calculus and PCA were also very important and should not be ignored. So, before I started learning ML, many were dead set that Linear Algebra is a big prerequisite. But if you want to become a real specialist in the field, you cannot escape learning some of the concepts of Linear Algebra.Īll the magic that happens under the hood of any machine learning algorithm, especially Deep Learning, is mostly Linear Algebra math. 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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