The ways in which Artificial Intelligence (AI) continues to evolve business strategies and insights will continue to expand. The impact that AI and its subsets have had on the world thus far are immense. However, there is likely more to be experienced. Many of these advancements are made possible through Machine Learning, one of the many subsets of the Artificial Intelligence umbrella. Throughout this process, computers are capable of learning and deriving insights in data without any explicit programming intervention. The language used to flesh out these algorithms is typically Python.

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.

Part of the reason programmers are able to jump into these projects so quickly, in addition to Python’s simplicity, is the existing collection of online libraries full of prewritten code that are able to be used to develop these machine learning algorithms. As a free resource, programmers really can’t go wrong utilizing the code offered. Some of the most commonly used libraries include scikit-learn, TensorFLow, Keras and many more. Not only do these libraries offer extensive amounts of code, they also provide programmers with visualization tools that can be used to present their findings in a much more meaningful way. This only scratches the tip of the iceberg in terms of Python’s community support. With an open-source characterization, the number of free resources to be found seem infinite.

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.

The attributes detailed throughout this post should give those unfamiliar a bit of a better picture of just how far Machine Learning can truly go. The lengths at which businesses and everyday processes can improve with the help of these systems is still not yet fully realized. With the help of more Python Programming, it will become even more fleshed out. If you believe your business could use the help of trained professionals, consider how Online Python Training Courses could improve various internal processes. For more information on how these systems are improving elements of your life, take a moment to review the infographic accompanying 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.