Python Programming & Its Importance In Machine Learning
Artificial intelligence (AI) includes extensive applications. One of them is machine learning (ML), a type of AI increasingly used among various industries. ML means developing computer programs that allow computers to learn without being explicitly programmed or requiring programmers to intervene. While other languages may be used, the programming language for which Python is most popular is AI and ML, for a variety of reasons. Python is simple to use, with straightforward syntax. This means it takes less time to learn the language so that you can immediately begin programming and working with large amounts of data. Python also has extensive libraries that include prewritten code, which produces certain functions and actions. That means programmers can use Python’s base level codes without having to program them from scratch. Popular libraries include pandas, Keras, TensorFLow, scikit-learn and more. Python’s flexibility means programmers have more options. They can choose the programming style with which they are comfortable — even combining styles and using Python with other languages to reach the desired result. The accompanying resource highlights Python’s advantages and how it can be used for AI — including ML and data science. Check it out for more information surrounding Python!
Python Programming & Its Importance In Machine Learning provided by Accelebrate, a company offering courses in Python Data Science training