Machine learning and AI is trending for the next few decades in business and society as the 4th industrial revolution slowly begins.
After remaining somewhat stagnant for decades, artificial intelligence (AI) is going through a period of powerful acceleration and innovation into fields such as healthcare, education and a more connected IoT, Cloud and 5G society.
Naturally, with the demand for AI skills more than doubling in recent years, a career in AI has become a highly attractive option for people with an interest in data science and software engineering.
Must Read: about Artificial Intelligence (AI).
Which programming language should you learn to plumb the depths of AI? According to PwC’s recent report “Sizing the Prize,” global GDP is forecasted to be 14 percent (or $15.7 trillion) higher in 2030 because of AI. The 2020s are therefore the perfect time to learn programming languages that will be used in AI’s software development. Some analysts figure as AI boosts productivity, product quality, and consumption, the most dramatic sector gains will be in financial services, transportation, healthcare, and retail industries.
In reality, it’s probably too soon to say. So what is the best programming language for AI projects? This answer is also likely to change depending on the year and kind of project but hopefully, this article will give you some ideas to where to start.
When it comes to careers in artificial intelligence, data scientists command an annual median salary of $120,495.
Candidates looking to get started in data science need to be comfortable with big data platforms and tools like the following:
Data scientists should also be highly experience in statistical computing languages and programming languages:
Visit the 1LineTech for break news, futurism and related posts.
Still, in a more general sense we could do a meta-analysis of some of the recent listicles and gain some helpful data. You might ask yourself questions like what’s the fastest path to a career in AI or what’s the best programming language for AI? I think those questions are really valid.
AI Programming Languages
For the standard Machine learning engineer:
To be considered, applicants must demonstrate an in-depth working knowledge of modern programming languages like the following:
The fullest potential of AI is not yet known, even by the most technologically advanced thought leaders but in today’s world, it’s all about machine learning and your regular algorithms.
When you think of Python you think of unparalleled community support and pre-built libraries (like NumPy, Pandas, Pybrain, and SciPy) that help expedite AI development. Python is one of the most widely use programming languages because of its simplicity. The main use is for AI algorithms and data structure.
Python because this programming language is simple to use for complex AI implementation. Garbage in and garbage out and keep it simple stupid and all that jazz. There are tons of resources available online for AI using Python. Python is the leading coding language for NLP because of its simple syntax, structure, and rich text processing tool.
Importantly also as this highly flexible AI language is platform-agnostic, you’ll only have to make minor changes to the code to get it up and running in a new operating system.
Moreover, it is simple to understand and implement as a programming language.
- The best part is that the syntaxes for Python programming can be easily learned.
- Python offers a very short learning curve for learners.
- Implementing this language for AI-based Algorithms is support by libraries for a simple programming process.
Compared to C++ and Java, it is much less complex. Python is great for AI programming is that it is ideally suited to Big Data – which most of AI consists of. AI has a lot of algorithms; thus, it has a LOT of data. That’s basically the TL;DR version of why Python.
We’ll continue this series soon, with a glimpse beyond Python programming language for AI.