Though many people may not realize it, a sizable portion of their day is impacted by the functionality of Artificial Intelligence. A lot of their time spent scrolling on their phones, for example, is being fed by these algorithms. It goes beyond impacting the everyday lives of people, though. Even some of the largest organizations are evolving thanks to AI, most specifically machine learning. This form of AI allows computers to learn through the analyzation and interpretation of data without any explicit programmer intervention. With the help of these program’s analyses and interpretations of the data they work with, more and more organizations are able to more accurately solve the problems they encounter and in turn offer more to their customers.
Returning back to the impact on the everyday lives of people, have you ever been recommended to follow someone’s page on Instagram? Or maybe suggested a friend to add on Facebook? Perhaps Amazon has also suggested products you might like based on your previous purchases on the platform. Each of these services are leveraging the use of machine learning. Though these may seem simple, there are even more practical instances of machine learning making a difference. For example, automated fraud detection from your banking provider. Translation services, predictive text, and more are all the result of python-powered machine learning developments.
All of the tools listed above were accomplished as a result of python-powered machine learning. How can these things be accomplished, though? First and foremost, companies must collect a massive amount of data on their customers. This data then needs to be assed. After proper assessment, programmers are able to delve the code necessary to analyze this data and provide sound insights that can eventually evolve into fully fleshed out business strategies. The programming language of choice for these challenges is Python.
Python is the preferred language of choice for a number of these Machine Learning and Data Science applications due to its ability to fluently work with large amounts of data. In addition to this ability, Python possess a straightforward syntax, making it easier to pick up on for the inexperienced. For those that prefer working on a different operating system or with a different programming language when necessary, Python is particularly flexible and compatible, making it the perfect choice for these situations. If that weren’t enough, due to its open-source nature, there are also an extensive amount of online libraries that include large amounts of pre-written code able to be integrated into any project.
Any business currently struggling with finding the same value that their AI or ML projects should be offering, might want to consider the ways in which Online Python Training Courses could improve these bodies of work. For more information on the types of services offered and the ways in which Python can contribute to these projects, please spend some time reviewing the infographic included 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.