Artificial Intelligence and its many applications have shaken up the way a number of industries operate. For example, Machine Learning has become such an important tool for the way that the IT industry operates in addition to being the backbone of many applications people use today. Without any explicit coding needed, these programs, through the analyzation of data, are able to learn and identify possible solutions for companies around the world.
Some easily recognizable ways this may affect individuals every day can be seen through content recommendations on apps like Instagram, suggested friends on Facebook, or product recommendations via Amazon. In addition to this, more complex services are maintained through their use of machine learning. Automated fraud detection from your bank, translation programs, and even the way your phone can predict the way you want to finish your texts are all made possible through the use of python-powered machine learning applications.
But how is this accomplished? Well, first it requires a massive amount of data input to be assed. Following this, programmers must develop and provide code that breaks down the data into meaningful insights that companies can use to develop business strategies and enhance the user experience in real-time. The language that is most common for machine learning applications such as those mentioned above is Python.
Python is the preferred language of choice for a number of data-intensive applications such as artificial intelligence, data science, and financial services due to its ability to work with large and constantly changing datasets. In addition to this, its straightforward syntax, its extensive backlog of pre-written code found in public online libraries, and its flexibility with other languages make it the best choice for programmers working on these particular projects.
For more information on the ways Python Programming is utilized in Machine Learning and its numerous applications, consider reviewing the infographic below; courtesy of Accelebrate. Included is a number of additional benefits that Python brings to Machine Learning applications and how Python is used in Data Science.