THE IMPACT OF SEO AND ITS IMPACT ON EACH OF US
Each and every one of us are connected, especially on social media and other online platforms. Which is why using SEO is so important. Another thing that is important is something called “machine learning.”
There are two sub categories with this one. There is supervised and unsupervised. Supervised machine learning is when a person learns about the inner-workings by using equations and algorithms.
Unsupervised machine learning is when a person learns the same stuff, it’s just that there are no equations involved. Think of it as the difference between book learning and life learning. There are many things that book learning can teach a person. Life learning gives you experiences in more of a realistic approach. Unsupervised machine learning is all about learning things without “theory” coming up.
Some might be asking why this is relevant. One must learn this data to help them increase their site structure. Bloggers have to know what is working within their site structure and what is not. This data is extremely important. The more bloggers know about the inner workings of their sites, the more they can make adjustments where needed.
WHICH METHOD IS BEST
Some say supervised machine learning(book learning) is the better way to go. Others say that unsupervised machine learning(life learning) is the better approach. To be honest, both approaches offer something of value.
Each of us can learn something from a book. Each of us can learn something from life. It’s up to each person to combine both learning aids into one. This is why both methods of machine learning is quite valuable.
Each of us can learn something from the algorithms. We can also learn something from doing things without a net. Every blogger needs both approaches when dealing with their site.
The training process is what each of us make of it. It all depends on how long it takes to understand the inner-workings. Tools like the Penguin are there to aid and assist.