More and more businesses worldwide are looking to different artificial intelligence applications for a leg up on their competition. Of the most popular, machine learning has certainly found a mainstay in the business landscape. This python powered method is what allows machines to learn autonomously. All that businesses need to provide for these applications is the data they collect. This post will detail machine learning in length and the ways in which Python contributes to the development of these applications.
Now, some might be wondering why Python is the preferred programming language for these applications. First and foremost, Python possess a simple and straightforward syntax. Meaning it’s one of the easiest languages to understand even without any experience with it. Which is why it’s so commonly taught as the first language for many aspiring programmers around the world. Knowing that mastery isn’t required in order to begin working with the data these systems are meant to interpret, it becomes an easier language to pick up on in a short period of time.
If that weren’t enough, Python also possesses a number of extensive libraries that include prewritten code for a number of functions and actions available to be used in any project. This saves a great deal of time for programmers as they no longer have to program base level code from scratch. Some of the libraries utilized include Numpy, Keras, PyTorch, Pandas, Theano and many more. In addition to this prewritten code, these libraries often include data representation tools such as integrated charts and histograms to allow for a more visually appealing presentation of the data programmers are working with.
If its ease of use wasn’t enough, Python is also one of the most flexible languages for these applications. Programmers have the freedom to combine whatever programming styles or languages they’re most comfortable with in order to complete their projects. In addition to this, Python is easily utilized on all major operating systems (Linux, macOS, Windows, etc.) If a programmer has been working on a project that requires a platform switch, that is made possible through some simple modification of the code.
It’s clear that Machine Learning and Data Science applications benefit greatly from the help of Python. It’s also worth noting that Python receives very high-quality community support as a result of its open-source nature, making it that much more appealing. If you’re on the hunt for some additional information on the impact that Python has on various Machine Learning aspects, be sure to review the infographic that is featured alongside this post.
Author Bio: Anne Fernandez – Anne joined Accelebrate in January 2010 to manage trainers, write content for the website, implement SEO, and manage Accelebrate’s digital marking initiatives. In addition, she helps to recruit trainers for Accelebrate’s Python Training courses and works on various projects to promote the business.