Python (in Machine Learning)

What is Python (in Machine Learning)?

Python is a programming language that is preferred for programming due to its vast features, applicability, and simplicity. The Python programming language best fits machine learning due to its independent platform and its popularity in the programming community.

Machine learning is a section of Artificial Intelligence (AI) that aims at making a machine learn from experience and automatically do the work without necessarily being programmed on a task. On the other hand, Artificial Intelligence (AI) is the broader meaning of machine learning, where computers are made to be receptive to the human level by recognizing visually, by speech, language translation, and consequently making critical decisions.

Advantages of Using Python

1. Independence across platforms

Due to its ability to run on multiple platforms without the need to change, developers prefer Python, unlike in other programming languages. Python runs across different platforms, such as Windows, Linux, and macOS, thus requiring little or no changes. The platforms are fully compatible with the Python programming language, which means that there is little to no need for a Python expert to explain the program’s code.

The ease of executability makes it easy to distribute software, allowing standalone software to be built and run using Python. The software can be programmed from start to finish using Python as the only language. It is a plus for developers since other programming languages require complementation by other languages before the project is fully completed. Python’s independence across platforms saves time and resources for developers, who would otherwise incur a lot of resources to complete a single project.

2. Consistency and simplicity

The Python programming language is a haven for most software developers looking for simplicity and consistency in their work. The Python code is concise and readable, which simplifies the presentation process. A developer can write code easily and concisely compare it to other programming languages. It allows developers to receive input from other developers in the community to help enhance the software or application.

The simplicity of the Python language makes it easy for beginners to master it quickly and with less effort as compared to other programming languages. Also, experienced developers find it easy to create stable and reliable systems, and they can focus their efforts on enhancing their creativity and solving real-world problems using machine learning.

3. Frameworks and libraries variety

Libraries and frameworks are vital in the preparation of a suitable programming environment. Python frameworks and libraries offer a reliable environment that reduces software development time significantly. A library basically includes a prewritten code that developers can use to speed up coding when working on complex projects.

Python includes a modular machine learning library known as PyBrain, which provides easy-to-use algorithms for use in machine learning tasks. The best and most reliable coding solutions require a proper structure and tested environment, which is available in the Python frameworks and libraries.

Why Python is Most Suitable for Machine Learning

Machine learning and AI, as a unit, are still developing but are rapidly growing in usage due to the need for automation. Artificial Intelligence makes it possible to create innovative solutions to common problems, such as fraud detection, personal assistants, spam filters, search engines, and recommendations systems.

The demand for smart solutions to real-world problems necessitates the need to develop AI further in order to automate tasks that are tedious to program without AI. Python programming language is considered the best algorithm to help automate such tasks, and it offers greater simplicity and consistency than other programming languages. Further, the presence of an engaging python community makes it easy for developers to discuss projects and contribute ideas on how to enhance their code.

To learn more about the fundamentals of Python for finance professionals, check out CFI’s Machine Learning for Finance – Python Fundamentals course!

Popularity and an Engaging Community

The software developers’ world is complex, and it is a learning process even for the best developers and programmers. Therefore, getting access to an engaging community where members can discuss and share insights into projects is an advantage. The Python programming language attracts a huge community of developers, which makes it a preferred programming language for machine learning and other projects, such as data analysis, regression, web development, etc.

Python developer exchange forums are active in promoting the growth of the Artificial Intelligence community as a whole. The forums help learners fast track their knowledge on machine learning using Python, hence growing the population of experts.

Many large companies and businesses today are turning to Python because of its efficiency and simplicity. Google uses the programming language for web page crawling, Spotify for song selection, as well as entertainment companies for movie production.

Additional Resources

In order to help you become a world-class analyst and advance your career to your fullest potential, these additional resources will be very helpful:

• How to Scrape Stock Data with Python?
• IT Salary Guide
• Transitioning from Excel to Python
• Python Fundamentals (Machine Learning for Finance)
• See all data science resources