A Breakdown Of Artificial Intelligence And Python’s Contributions

Would you believe that some of the most popular functions on the most used applications in the world are birthed through the use of artificial intelligence? More specifically Machine Learning?  The capabilities of machine learning have opened up the door for many of the biggest advancements in the way countless industries operate worldwide. What surprises people most about these machine learning phenomena is that they’re capable of learning all on their own. With the help of data, these programs are capable of advanced analyzation and interpretation which can offer businesses possible solutions for some of the most unique challenges.

What sort of ways do the everyday people of the world benefit from these sorts of advancements, though? Well, there are a number of recognizable ways in which Machine Learning and its counterparts influence our everyday lives. Let’s start with some of the most common social networks today. Has Instagram or Facebook ever recommended that you follow or friend a particular user? Was that user someone you knew closely? Most likely, as these recommendations are predicated on elements such as similar follows, similar followers, etc. The same way these networks suggest contacts, is the same way that Amazon suggests products to you. These are just some of the simple ways Machine Learning influences these applications. Much more complex services are built upon these Machine learning capabilities. Think about the automated fraud detection offered by your bank. How about how your phone’s suggested text patterns that can finish your texts for you? Or the most advanced translation services around the world?

For those unfamiliar with the ways in which these programs are brought to life,  a majority of these possibilities first require massive amounts of data input to be assessed. Once the data has been assed, programmers develop the code that breaks down the data into more meaningful and interpretable insights that companies are then able to use to develop business strategies in real-time. The coding language that makes all of this possible is Python.

The reason Python is the most preferred programming language for such data-intensive applications like artificial intelligence, data science and financial services mentioned previously, is its ability to work so effectively with large and consistently updating datasets. Coupled with the fact that this language possesses a straightforward syntax, it becomes the premier option for those novice programmers that are starting on some of their larger projects for the first time. New programmers, in addition to long-lasting programmers, greatly benefit from another aspect of Python as well. There are numerous libraries online that contain backlogs of pre-written code useable in any Python project or application for free. This saves programmers a solid amount of time when developing the code they’ll need to work through their projects. Finally, Python’s flexibility with other operating systems and programming languages make it the most obvious choice for these projects.

Hungry for more information on the ways that artificial intelligence and machine learning are shaping the world? Look no further than the accompanying infographic coupled alongside this post. The details shared within it will help you understand some of the ways that Python is contributing to all of these advancements. For any businesses interested in learning more about how Python could help innovate some of the internal processes within your business, consider consulting a firm offering Online Python Training Courses.

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.