Python’s Role In Machine Learning

As the world’s understanding of Artificial Intelligence continues to expand, the ways in which the technology can be applied expand as well. In most recent years, Machine Learning has made a significant impact in the way that people live their everyday lives and how business continue to operate. How are these advancements made possible, though? Machine Learning in particular is accomplished through computers learning and interpreting information on their own based on large amounts of data. In order to ensure this is possible without programmer intervention, it requires a great deal of programming. One of the most common languages for these systems is Python. 

For those wondering what makes Python the preferred programming language of choice for these applications, this post and accompanying infographic should clear up any confusion. The first aspect of Python that makes it the preferred programming language is its simple and straightforward syntax. Its simplicity allows even the unexperienced to understand with little practice. This is made even more apparent when considering it’s one of the first programming languages aspiring programmers are taught. Beginning work with the language doesn’t require any form of mastery but can be quickly picked up by any programmer. 

Its beginner friendly nature is only part of what makes Python the preferred language of choice for these Machine Learning applications. Perhaps the most beneficial aspect of the language comes from its community support. There are countless free libraries at any programmers’ disposal that provide pre-written code easily used in most Python projects. Scikit-learn, Theano, TensorFLow and many more provide programmers with critical code to use in their Machine Learning projects. Meaning programmers can save countless amounts of time and hash themselves out a head start. In combination with this code, these libraries also provide tools that take all the hassle out of presenting the insights they find through integrated graphs such as histograms. 

While Python certainly benefits from its community support, it also is one of the most flexible programming languages available to programmers. Its compatibility with languages such as C and C++ in combination with its support on different operating systems makes it an incredibly flexible language to work with. The freedom provided to programmers as a result of this flexibility is unmatched. Couple this with its open-source nature and it becomes clearer and clearer why Python is the most valuable programming language choice for Machine Learning and Data Science applications. 

To learn more about Python programming and its impact in the Machine Learning space, consider checking out the accompanying infographic. Alternatively, Online Python Training Courses can teach you all about Python. 

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