Machine Learning and Python

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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