Why we need Machine Learning algorithms in Data Science? Let us understand from the standpoint of a beginner in data science.
Firstly, One of the main branches of computer science is algorithms. As a result, whenever we try to find a solution in Python, we need an algorithm. Right?
It might be one of the oldest puzzles of Mathematics, such as finding whether a number is prime or not.
However, machine learning algorithms are different. In addition, for data science we don’t need more than twenty machine learning algorithms which we will see later one after another.
However, now we need to take a look at the following diagram, which will tell you what machine learning is and why it relates to data science.
We see that the intersection of Mathematics and Python, or Computer Science points to Machine Learning algorithms.
However, data science needs another field of knowledge, which is Domain.
What does domain mean?
Domain stands for any specialised topic such as Business. Or it might be Psychology.
But machine learning algorithms need Mathematics and to be precise discrete mathematics.
Why?
Because one of the main branches of discrete mathematics is also algorithms.
In the next discussion we’ll learn how we can reach Machine learning algorithms using mathematics and python.
It’s not difficult.
Because there are several good algorithms available in python also.
We’ll discuss that in detail.
But before that, we will see some old mathematical algorithms.
Why?
To understand what is going on in the background.
Leave a Reply