Have you ever wondered how Netflix’s ratings and recommendations system works? How YouTube fetch the video suggestions that you like? Or how Facebook identifies and finds stories that are interesting to you?
It is because these services are powered by AI – Artificial Intelligence and ML – Machine Learning algorithms. These algorithms are systematically coded using a programming language to analyze the high level of user granularity to find out personal interests and preferences.
As per the MIT Slogan Management Review, 76% of the organizations are using machine learning to improve their sales growth.
So what makes Python a good choice for AI and ML?
Across various channels, industries and big corporations Python is the best programming language for AI and ML
Artificial Intelligence and machine learning have become an integral part of our lives and helping us to enhance our abilities and make us perform better at what we do. Voice assistants such as Google Assistant, Siri, Cortana, Alexa have revolutionized the way we work, study, and entrain ourselves.
Machine learning and artificial intelligence aren’t just making our lives easier, but in some cases making our lives more productive and creative. IBM’s Watson is the best example that so far has helped to detect critical diseases and predict ailments that veteran doctors couldn’t.
In the corporate sector, AI and ML are helping enterprises to make dramatic shifts in customer service, business development, and in terms of performance as well. Data is the lifeblood for any business, and artificial intelligence and machine learning have opened the doors to analyze the massive amount of data, identify patterns and extract critical insights to drive profitability, improve processes and increase competitive advantage.
As a result, AI and ML development services are generating both interests as well as investment from forward-thinking enterprises that expect to leverage the power of intelligent and autonomous solutions.
- Gartner, a global research and advisory firm, states that by the end of 2020, AI and ML have become one of the top 5 investment priorities for more than 30% of CIOs.
- Tractica – There is one more market intelligence firm that focuses on human interaction with technology, which estimates that annual global AI revenue is about to reach $118.6 Billion by 2025.
What Makes Python First and Foremost Choice for Entrepreneurs
Python is a general-purpose, interpreted, and high-level OOPs based dynamic programming language that focuses on rapid application development and doesn’t repeat yourself. Due to ease of syntax in Python the programmers can complete coding in fewer steps as compared to Java or C++. Python is considerably one of the fastest-growing languages. Python’s ever-evolving libraries and support make it a viable choice for any project, be it a mobile app, web app, IoT, AI, ML or data science. If you are looking to hire data scientists/AI/ML/IoT developers for your project, Bacancy can be a one-stop solution for you.
Most of the software development companies are choosing Python because of its fewer programming codes and versatile features. However, the programmers make use of Python because of its characteristic features like,
- Object-oriented
- Interpreted
- Modular
- Dynamic
- Portable
- High level
- Extensible in C++ & C
For more read-in detail, that why you should choose Python for your next web application project.
AL & ML with Python could it become your ticket to business success
Python came into existence in the year of 1991 by the programmer Guido Van Rossum. The Python is now extensively used by entrepreneurs for multiple programming paradigms. Python is built with a principal focus on beautiful design and impressive look. Python is a portable and highly scalable platform. Let’s have a look at what makes Python an ideal alternative for AI and ML.
1. Highly Flexible Platform
Python is suitable for every purpose language, and it has made easy with the right set of tools and libraries to link data structures for back-end web development, data analytics, web development, and artificial intelligence. Python has a perfect back-end that provides a power produce code in the IDE itself.
2. Extensive Selection Of Libraries
Libraries are referred to be the collection of pre-written codes and functions, which eliminates the need to rewrite lines of code when it comes to performing complicated tasks. One of the main reasons why Python is a preferred language for AI and ML-based projects.
Most commonly used Python libraries in AI and ML are,
- Pandas
- NumPy
- TensorFlow
- SciPy
- Scikit-learn
- Keras
- Matplotlib
- Natural Language Toolkit (NLTK)
- Scikit-image
- PyBrain
- StatsModels
3. Independent Nature
The entire process of building solutions functions seamlessly on multiple platforms. Developers can tweak the code and make the application ready to run on different operating systems. It ultimately saves a lot of valuable time that developers can spend on testing apps on various platforms.
4. Do More With Less Code
In Python, software developers can implement the same logic with less code in the comparison of other programming languages. Python streamlines the whole process of writing and executing code so developers can use an interpreted approach to validate the code while producing it.
5. Immense Popularity
Python has a simple and short learning curve. Considering the popularity, the Python developers can be easily found in the comparison of other languages. The growing community of Python ensures that with every single update they make the platform even better.
Epilogue
We can’t deny the fact that AI and ML have a profound effect in this digital world we live in, as new and improved solutions are coming day after day. Almost all enterprises have realized that there is no better time than now to invest in AI and ML. With the clean and convenient coding format, an amazing set of libraries, outstanding flexibility, fast retyping, and huge community support, Python makes the AI and ML-based development projects a lot easier, in a short amount of time as well as budget-friendly.
Considering all these advantages, we let you hire Python developer so you can explicitly focus on fixing business problems, and we can help you fulfill your business objectives.
