In this article, I want to outline what mistakes you should avoid when learning math in machine learning: Did not know what math topic is necessary for machine learning, Did not ask for help, Jumping to learning Machine Learning Math without understanding the Machine Learning algorithm concept, Stuck in the “School-Days” Way of learning
As a Data Scientist, machine learning is our main tool to solve business problems and one reason we are employed within a company. However, would it enough to only use machine learning without any math knowledge behind machine learning algorithms? In my opinion, you need to learn the math behind machine learning.
And here is some arguments to support my claims:
Even though we understand how important math is, the main problem when learning math is how high the learning curve. In my experience, many people give up learning math because they fell into pitfall learning that hinders their development.
In this article, I want to outline what mistakes you should avoid when learning math in machine learning. Let’s get into it.
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