If we want to learn Artificial Intelligence or in short AI, there are a few steps that we need to follow. It’s like a one way ticket.
Why do we call it a one way ticket?
Because there is no alternative to Artificial Intelligence.
Ultimately we have to learn it. The emergence of ChatGPT tells us a scary story.
There is no other way. If we want to survive in the tech industry, that is the only future.
Therefore, let us see how we can start learning AI.
Firstly we need to start with mathematics.
Why mathematics, we will clarify later in detail.
If you are a complete beginner your journey to learn TensorFlow might start from here.
For the TensorFlow beginners we have a dedicated category – TensorFlow for Beginners.
But besides that, you may need to learn several other machine learning and data science libraries.
As a result, you may check these categories as well – NumPy, Pandas, Matplotlib.
However, without learning Python, you cannot learn the usages of these libraries. Why? Because they all use Python as the Programming language.
Therefore please learn Python at the very beginning and start learning TensorFlow.
And, finally please check our Mathematics, Discrete Mathematics and Data Structures categories specially. We have tried to discuss from basic to intermediate level so that you can pick up the core ideas of TensorFlow.
However, at present we need the basics of mathematics knowledge like linear algebra, calculus, and probability theory.
Secondly, we need to learn a programming language that has a large machine learning library.
Our choice is either Python or Go.
Next comes the real thing.
Algorithms.
A good understanding of Machine Learning algorithms is necessary.
It includes linear regression, decision trees, and neural networks.
Of course the above list is incomplete.
We will talk about it more. But later.
Following that we must have a very good grasp of data structure.
In fact, to gain expertise over any programming language like Python, learning data structure is the most crucial part.
Certainly there are big Artificial Intelligence communities that are buzzing around us.
So to get your head around it, we need to get accustomed to this community.
Reading recent research papers is one such task.
There are more to come on Artificial Intelligence.
So stay tuned, we will discuss later.
What Next?
TensorFlow, Machine Learning, AI and Data Science
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