Machine learning algorithms, while closely intertwined with artificial intelligence, provide the software used by these AI solutions to provide value throughout the world. Many of these machine learning algorithms are powered by Python, which in turn influence a number of the applications we use every day. But why Python? Its open-source framework keeps its availability open to every user, free of any cost. For organizations around the world, this can be huge as they don’t require shelling out money for expensive licensing fees in development. Similarly, its open-source framework gives credence to its active community. With Statista accounting for nearly 15 million developers worldwide, more code becomes available for use rather than developing it independently. This is also seen through the large library variety for Python code. Whether it be NumPy for processing large amounts of numerical data, or Seaborn for data visualization necessities, there are options available for companies and individuals to utilize in hopes of bolstering their machine learning applications. If it weren’t clear enough just how Python is driving the machine learning space, learn more about its capabilities through the information found in infographic supported alongside this post.
Python Programming & Its Importance In Machine Learning provided by Accelebrate, a company offering courses in Python Data Science training