What is machine learning or ML?
Machine learning or ML is a division of AI (artificial intelligence) and CS (computer science). It allows software applications to function in a more accurate manner. The software applications can predict the outcomes accurately with the help of machine learning.
ML uses data and algorithms that imitate the way human beings learn. It improves its accuracy gradually, with time by learning just as humans do. Hence, ML algorithms use old data as input and predict new values. Furthermore, there is no need to program software applications exclusively for each task.
What is the importance of ML?
Machine learning is extensively used for several applications today. One of the most well recognized uses of machine learning is the recommendation engine used by Facebook. In this case, new and relevant posts appear in the Facebook user’s news feed due to machine learning algorithms. Also, many other well-known companies such as Google and Uber have machine learning an essential part of their operations.
Machine learning gives enterprises an idea of the trends in customer behavior as well as in business operational patterns. In addition, it also helps in the development of new and exclusive products. Indeed, machine learning has become a significant factor to shine among competitors for companies.
How does machine learning work?
The learning system of the ML algorithm has three major parts.
1. Decision process
The algorithms of machine learning or ML are designed to make predictions or classifications. Firstly, the algorithm predicts an estimate about a certain pattern in the input data. It is the first step of a machine learning system.
2. Error function
The purpose of the error function is to examine the prediction of the algorithm. The error function makes comparisons with any known examples to check the accuracy. It is the second step
3. Model optimization process
The third and last part is the model optimization process. The model optimizes the prediction pattern by adjusting inconsistency between the example and the estimate. It will repeat the evaluation and optimization multiple times to achieve a threshold of accuracy.
What is Python?
Python is one of the most liked and widespread programming languages these days. It is an interactive and object-oriented programming language that is used to develop many applications. This programming language was developed by a Dutch person named Guido van Rossum in the 1980s.
Its unique name is inspired by a British comedy group named Monty Python. The creator of python, Guido Van Rossum enjoyed this comedy group when he was developing the language. Therefore, he named this language python.
Python philosophy and design have an influence on many other programming languages too. Such languages include Cobra, Goo, Bo, Julia, and Nim.
Key features of python language
Python is a considered a universal programming language. Therefore, it can run on almost all system architectures. It has very diverse applications. The key features of python are stated here.
- It works well with a lot of platforms such as Windows, Linux, Mac, and Raspberry Pi.
- The simple syntax it uses is analogous to the English language.
- Python is easy to handle in object oriented, procedural, or functional way
- This programming language operates on a system that allows code to be applied instantly.
Why is python so popular?
Python is ranked as the third most popular programming language by the TIOBE index. TIOBE is a software company that measures the quality of software code. There are numerous explanations for the growing popularity of python.
One of the reasons for its popularity is that it is easier to learn than any other programming language. Therefore, even a new student of programming and coding can use it. It has a simple syntax, due to which it is easy to read and understand. It is an open-source language too. Anyone can use python for coding. Its applications in data visualization, AI, and web development makes it one of the best programming language available.
What is paraphrasing?
The literal meaning of paraphrasing is to express the meaning of a written text or speech using different words in order to achieve better understanding and avoid confusion.
To rephrase it, it is the expression of data and concepts using your own words. While paraphrasing, the actual meaning of the content is not changed. Thus, it shows the understanding and capability of conveying information.
Machine learning in python for paraphrasing text
Machine learning is a program that makes the computer learn from data and statistics. It analyzes the data and predicts the outcome. Machine learning can be demarcated as the study and development of methods that automate the process of decision making. It allows the computers to learn predictive rules in the data. Also, they do not require special instructions for this task.
Machine learning in python can be used in paraphrasing tool with the help of machine learning algorithms will make the decision to select and replace suitable words. The algorithm will not change the meaning and context of the sentence. As the three-step working of machine learning is described in this article, the algorithm will check the work to omit any possible error. If a word is found to be misused, it will be replaced. This process will be repeated until a specific accuracy level is achieved.
In this way, the original content will be rephrased so that it retains the same meaning. The words expressing and describing the content will be changed. Consequently, the resulting piece of content will be unique and new. The is no need to command or supervisor the algorithms. They can work robotically and provide the finest result.
Final thoughts
In summary, python is a well-known programming language. Its ease and simplicity to use are the main features that make it so popular and widespread. Machine learning is the program that enables a computer to learn from the available data and identify patterns in it. Machine learning in python helps the content creators by paraphrasing written content.
The machine learning algorithm keeps the original meaning of the text and rephrases the content only. And, these algorithms imitate the learning process of humans. As a result, they become better with time and improve their result gradually. It can be easily said that by using python, a high level of accuracy in paraphrasing can be achieved.
