Hello, today we are going to talk about what is machine learning.
If you are talking about this, you will find that the answer is what is the machine learning is what is the definition of the machine learning? As we all know that The machine learning is the sub-sequence about this Artificial Intelligence. And without the doubt that is the data-driven technology. And we use the data and we summarize the Patterns. and we use that into the new data
And furthermore, it’s about the data, the statistics, and the math. As we all know, that the algorithm, the Capability about the coding and the And the meaning about the business in the scenario. And we all need that kind of knowledge.
So let’s keep simplify. This definition is the computer get the pattern and the mode from the data we already have and apply this new pattern and model into the new data for classification or some other logistic regression.
And one more sentence we should talk about is the machine learning is included in the artificial intelligence. So it’s smaller than the AI. This is common sense. And for the machine learning, we’re talking about there including the deep learning. So deep learning the subsequence about the machine learning deep learning the meaning of talking about the neuroscience network and related algorithm.
Some simple concept we should clarify at the very first time. And I will let you know the supervised learning. And the unsupervised learning what is totally different from a simple example to express this idea.
So just imagine you have a winter holiday or the summer holidays from home, oooh, no, it is from your school.
And as usual, you will have homework in the winter holiday or the homework in the summer holidays. This is a book full of the exercise. Even though you have a lot of homework to do, but why you are not so bad because you have the answer in the back of this book, you have the answer then you can have a reference when you have a hard problem or even you just copy and paste from the answer to the dialogue.
Ok. Simplified explanation is you have this book, you have the exercise and the answers. That is the supervised learning. You have the reference key point to tell you which you are wrong and which you are right.
But when you come back home your father will ask you now what is the homework for you for this whole long holiday, you show him this book and you keep your smiling under your face because you dare to let him know that you have the answers.
But usually Your father’s Intelligence is more beyond you, and he knows The answer will behind this book. So he will do an action that transfers your behaviors from the supervisor learning to unsupervised learning what actions he will do is to spread out your answers from this book.
So the simple concept about supervised learning and unsupervised learning was very clear and the key difference between the two kinds of learning methods is what if we have the answer? What if we have the answers we need in our hands?
If yes, this is the supervised learning if no this is not the supervised learning which we called the unsupervised learning.
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