Python has emerged as one of the most popular languages used in the field of machine learning and artificial intelligence in general, with some speculating that Python might be the language of choice for most data science projects . What makes Python so popular in machine learning? And why are so many developers jumping on this bandwagon? Lets take a look at the reasons behind Pythons popularity in machine learning to see if we can get to the bottom of this trend.
Python has been around for a long time
Python is one of the most popular programming languages, and it has been around since 1991. It's also well known for being used as a scripting language, which means it can be used to control other programs. This makes it perfect for machine learning because you can write an algorithm and have it automatically tested without having to write any more code!
Data Science with Jupyter Notebooks
Python has a long history of being used for machine learning and data science. There are Python machine learning libraries for handling common tasks such as data pre-processing, cleaning, visualizing, and performing statistical tests on data sets. For example, the scikit-learn library provides support for models that have been developed from scratch or from the Python community.
Tensors
Python is one of the most popular languages in data science and machine learning, with a number of open-source libraries to help you get started. One reason for Python's popularity may be that it allows for more rapid iteration, making it easy to test different approaches and see what works best. In addition, Python can run on all major operating systems, which means you can easily program your code on your laptop and then use the same code on a larger computer cluster at work or school.
Libraries and Resources
There are many machine learning libraries for Python. Below are a few popular ones: NumPy, SciPy, scikit-learn, and NLTK.
In addition to these Python libraries, there are also resources such as DataCamps online courses that can help you get started with Python.
The popularity of Python in the field of machine learning stems from the fact that it is an easy to learn language and provides a wide variety of resources to learn from.
An Intersection Between Optimization, Economics, Statistics, Computer Science, and Mathematics
Python was initially developed as a general purpose programming language, but it has quickly grown to be one of the most popular languages for machine learning. Python's popularity with machine learning also stems from the open source libraries that are available on its platform. One of these libraries is scikit-learn, which can be used for predictive modeling and other types of data analysis.
The End Goal
Python has been gaining popularity because it's easy to learn, it's easy to read, and there are a lot of machine learning libraries3. Some popular machine learning libraries include scikit-learn, tensorflow, and xgboost. All of these packages have extensive documentation and tutorials for you to explore.
