Find out how HackerEarth can boost your tech recruiting

Learn more
piller_image

R Algorithms in AI and computing forces working together: A small industry insight

When it comes to understanding computing processes, especially in today’s front end and backend development world, most of the times everything revolves heavily around analyzing the algorithmic architecture in tools, applications, or more complex pieces of software.

In fact, a thorough analysis of what concerns the algorithmic side of things within the computing processing industry has led to a common conclusion—  algorithmic functions are moving with architectural rendering languages to build much more complex tools. 

Let’s analyze some of these. 

Algorithmic Retargeting in R and Python 

The biggest Python application currently available for the mass market is the one related to front-end tools installed on enterprise sites. 

This includes tools related to the web personalization industry, retargeting, remarketing, and Big Data manipulation, which are, in fact, a massive part of this statement. 

The way these tools work is by restructuring a catalog onto specific user preferences.

This is done with the combination of Python features and R-rendering algorithms.

Python scripts are gathering big data from specific landing pages, which are then stored into a Javascript (generally) container.

After this is done, R algorithms are set up to render automatically the data, via (generally) AngularJS-coded scripts.

In this particular case, R functions are simply acting as a processing functionality. 

Which Rendering Languages are Used

The above-mentioned process (gathering via Python, processed in R, and then exported in JS) is pretty common in a variety of architecture and, depending on the usage, the only variable for what concerns which programming languages are used is related to the “export” side of the matter. 

To better explain this, let’s analyze the most common programming languages— JavaScript and C#.

JavaScript exports are common within CMS-based tools (the ones, to reference, installed on architecture like WordPress, Magento, Shopify, etc) given the easiness of its application to these very portals. 

C#, on the other hand, is used when the tool (or software) is native and, therefore, the rendering langue used to print the pieces of information must be tailored onto the building architecture. 

Why is this Considered AI? 

Although for many, the matter could sound a bit dark and complicated, the combination of R algorithms to rendering languages (and computing power in general) could be aggregated within the AI sphere.

This is possible because, technically, those features (data gathering, processing, and printing) are related to AI as a whole. 

Artificial pieces of intelligence in 2019 have moved, in fact, to this very matter: fast processing, personalization, and projections tailored onto Big Data, automatically gathered without any human input. 

Futuristic projections of AI controlling our lives still live in science fiction and sometimes, given how they’re covered in many technology blogs/newspapers, these statements are extremely downgrading for an industry that is moving massively for what concerns both development and business awareness. 

The Market Value 

Pieces of software that are combining R algorithms and rendering languages as well as data automation have been covered by a variety of industry analysts. 

These industry analysts have pointed out how they are building a futuristic architecture that is very likely to dominate the way we perceive data processing. 

On top of everything that was said above, there is a significant part of the mobile market which is approaching the matter. 

As we know, mobile has definitely become quite important, both from a development point of view (with new applications) and a purely business-related one (with many investors and new startups becoming enterprises). 

Any app developers who have pointed out how algorithmic features within complex builds (especially on iOS) are now being embraced in the UK, which was recently selected as the European technological powerhouse. 

We can safely say that this will become the industry standard in the near future. 

Take a free tutorial to Python & Machine learning programming for better understanding.

Hackerearth Subscribe

Get advanced recruiting insights delivered every month

Related reads

Best Interview Questions For Assessing Tech Culture Fit in 2024
Best Interview Questions For Assessing Tech Culture Fit in 2024

Best Interview Questions For Assessing Tech Culture Fit in 2024

Finding the right talent goes beyond technical skills and experience. Culture fit plays a crucial role in building successful teams and fostering long-term…

Best Hiring Platforms in 2024: Guide for All Recruiters
Best Hiring Platforms in 2024: Guide for All Recruiters

Best Hiring Platforms in 2024: Guide for All Recruiters

Looking to onboard a recruiting platform for your hiring needs/ This in-depth guide will teach you how to compare and evaluate hiring platforms…

Best Assessment Software in 2024 for Tech Recruiting
Best Assessment Software in 2024 for Tech Recruiting

Best Assessment Software in 2024 for Tech Recruiting

Assessment software has come a long way from its humble beginnings. In education, these tools are breaking down geographical barriers, enabling remote testing…

Top Video Interview Softwares for Tech and Non-Tech Recruiting in 2024: A Comprehensive Review
Top Video Interview Softwares for Tech and Non-Tech Recruiting in 2024: A Comprehensive Review

Top Video Interview Softwares for Tech and Non-Tech Recruiting in 2024: A Comprehensive Review

With a globalized workforce and the rise of remote work models, video interviews enable efficient and flexible candidate screening and evaluation. Video interviews…

8 Top Tech Skills to Hire For in 2024
8 Top Tech Skills to Hire For in 2024

8 Top Tech Skills to Hire For in 2024

Hiring is hard — no doubt. Identifying the top technical skills that you should hire for is even harder. But we’ve got your…

How HackerEarth and Olibr are Reshaping Tech Talent Discovery
How HackerEarth and Olibr are Reshaping Tech Talent Discovery

How HackerEarth and Olibr are Reshaping Tech Talent Discovery

In the fast-paced tech world, finding the right talent is paramount. For years, HackerEarth has empowered tech recruiters to identify top talent through…

Hackerearth Subscribe

Get advanced recruiting insights delivered every month

View More

Top Products

Hackathons

Engage global developers through innovation

Hackerearth Hackathons Learn more

Assessments

AI-driven advanced coding assessments

Hackerearth Assessments Learn more

FaceCode

Real-time code editor for effective coding interviews

Hackerearth FaceCode Learn more

L & D

Tailored learning paths for continuous assessments

Hackerearth Learning and Development Learn more