Machine Learning and Python
Machine
learning is
a branch of artificial intelligence that automates the process of data
analysis. It helps to improve the performance of computer programs. Machine
learning algorithms mainly categorized as supervised and unsupervised learning
algorithms. In case of supervised learning, the class label is given and the
algorithm will map any feature x to y where y represents an instance of the predefined class label as shown in Figure
1. Classification is an example of supervised learning techniques. It has a different algorithm like SVM, Random Forest, Decision Tree, Naïve Bayes, etc. In the case of unsupervised learning, the algorithm will group different features
according to some criteria. Clustering is an example of the unsupervised algorithm
is given in Figure 2.
Figure
1: Supervised Machine Learning
Figure
2: Unsupervised Machine Learning
There is a need to
program these techniques to make human work easy. There are a number of
programming languages used for this purpose like Python, Java, R, Julia, etc.
However, Python is the most popular and widely used programming language to
implement various algorithms for Machine Learning.
Python
is object-oriented and highly interactive high-level programming languages. It
is not wrong to say that in the near future Python will produce a number of jobs
for software engineers.
The several features of
Python is given below:
- Simple: It is simple to learn as compared to other high-level languages.
- A large number of Libraries:
It provides a number of libraries to do work in an easy way. The most commonly used
libraries are Pandas, TensorFlow, OpenCV, Keras, Maltplotlib, NumPy, etc.
- High Level: Python
is a high-level programming language. It makes it easy to learn and use for
naïve users.
- Dynamically Typed: Python
is a dynamically typed language. It means the type of a variable is checked at
run time and not at compile time which makes Python a fast programming
language.
- Flexibility:
The Python provides facility to combine its code with another programming
languages.
- Platform Independent:
It is platform-independent and thus, works with any operating system like
windows, Mac, Linux, and UNIX.
- Free and Open Source:
Python is open source and thus can be easily downloaded which makes it more
popular.
- Visualization Tools: Python
offers a number of visualization tools to represent data in graphical form. The
Matplotlib library provides interactive visualizations in Python.
The Python is used in
Machine Learning because of its numerous features. It is used in many
applications such as Finance, Retail, Healthcare, Transportation, Robotics, etc.
It can be concluded that Machine Learning is one of the growing filed and
Python is considered as the best choice for it because of various features.
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