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Machine Learning “hello World” Using Python

By Author: Sana Mulla
Total Articles: 3

Machine Learning “Hello World” using Python

This blog will give you step by step guide on how to write your first “Hello World” machine learning program using Python.

Step 1 – Overview of Machine Learning
In order to write the hello world for machine learning you need to first understand what is Machine learning. Without having a clear picture of the key concepts of machine learning, it will be kind of shooting in the dark.

Traditional programming accepts data as input and gives data as output.

However a machine learning algorithm takes data as input, identifies the trends and patterns in data and gives a program as output. This program (also called model) is the gist of the data or a representation of the patterns that define the data.

Any new data can be given as input to this model/program and it will be able to classify it or make predictions on it.

If you understand concepts like supervised learning, regression, classification, unsupervised learning, clustering then you can proceed to step 2. If you don’t then we recommend you view our Machine learning using Python webinar before moving to step 2.

Step 2 – Why Python?


Hello world is the most basic kind of program that one can write about a topic to get a quick understanding of its nuts and bolts.

Before we do machine learning, we need to pick a programming language.

We need to deliberate carefully on the question – which programming language to use for machine learning?

Learning a new language is a long and time consuming process. It requires a significant investment of your time and energy to understand and master it. It makes all the more sense that we pick our programming language for machine learning carefully.

We recommend using Python.

Python is the programming language of data scientists. It has been designed to favor data analysis. It has out of box libraries that make manipulating data easier.

We have found Python to be a simple and easy to learn language that works very well with requirements of machine learning.

Here are some important reasons why you should consider Python for machine learning:

Open Source – Python is an open source programming language and you don’t need to invest anything in installing and making python work on your computer. It has an active global community that supports and works on it relentlessly making it better day by day.

Easy to learn – Python is one of the easiest programming language. It is not complicated like other languages. It is extremely concise.

Lets compare what it takes to print hello in Java versus Python and convince ourselves which is easier and a more succinct programming language.

JAVA

public class Main {

public static void main ( String [] args) {

System.out.println ( “Hello World” );

}

}

PYTHON

print ( “Hello World” )

It is obvious why Python is simpler than Java!

Multi platform support – Python is an interpreted programming language. What that means is the code that you write on a windows machine will work on a Linux machine as it. Python follows the philosophy of “Write once and use every where”.

Out of box libraries – Python has numerous out of box libraries like NumPy, Pandas, Matplotlib & Sci-kit learn that make machine learning a breeze. Most of the heavy lifting is done by these libraries. You as a user of these libraries can write simple code delegating the hard work to these libraries.

Top 5 programming language – Python is one of the top 5 programming languages of the world. You can google the top ten languages and read the top sites/blog returned by the search result. You will invariably find Python among the top 3.

Default of data scientists – Python has emerged as the default programming language of data scientists. It is loved by them and adopted widely by data scientists across the world. It makes sense to learn it to fit in.

If you are not convinced about the whole machine learning and python we recommend you read our blog Who is machine learning suitable for and how to go about learning it?

Now that you are well informed on machine learning using python you can move on to the next step.
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