However, many people who study ad operations try to learn the techniques and best practices of ad operations without understanding the basics of machine learning, and there are cases where they start working without properly understanding how it works.
This is like trying to solve a quadratic lebanon phone number library equation by memorizing the formula without understanding arithmetic operations; not only is it difficult to apply, but it could also lead to a decrease in the quality of your advertising operations due to a misunderstanding.
However, that doesn't mean that you can't manage ads if you don't understand the details of machine learning algorithms; as long as you understand how machine learning tends to behave when managing ads, you'll be fine.
This article focuses on the "essential and important things to understand when managing ads" when it comes to machine learning in ad management . Please note that the content has been simplified and explained using analogies so that even beginners to ad management can easily understand, so please note that this article does not pursue precise accuracy.
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Table of Contents [ Hide ]
General principles of machine learning
Automated bidding is like a treasure hunt
A note about machine learning
Machines vs. humans
summary
General principles of machine learning
First of all, I think the biggest barrier when you want to learn machine learning is the "psychological hurdle."
For those who are new to advertising management, when they hear that "ad management is being automated using machine learning," it may seem like something grand, and they may shy away from it, thinking, "It seems so technical and difficult to understand."
However, a simplified explanation of machine learning is that it is a technology that allows a computer to gradually become smarter as it repeatedly learns , and it is actually similar to the human learning model.
