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Best Programming Languages in 2018

We all know that technology is evolving pretty fast, and there are many programming languages one can name of. But there are some which are standard or probably the best and want coders/programmers to reach out to them again and again. Here, we give a quick snapshot of those according to Github the best programming platform in the world where coders, learners and expert programmers meet and help out each other.

JAVA

What to say about this language as it needs no introduction, companies queue up to hire the specialized JAVA programmers still as its probably the widely used oops language and is still growing. Android apps, web, games, big data, you name a technology and you will find Java there. Why we also believe that JAVA can help you shape your career in a better way? Come and know for yourself with our certified Android Development Program

Python

We all know that Python has become one of the most loved programming language on the internet. Yes, it’s true. Developers love it because it justifies to be one of those rare languages which are both simple and powerful. It’s a high-level programming language which has now become one of the fastest growing programming languages in the world.

Also Read. Introduction to Python Programming Language with Aedifico Tech

Php

If you are learning web development then surely you have heard about it once in your life . The term PHP stands for Hypertext Preprocessor. This language is responsible for handling data on the server. It’s simple, fast, platform independent, and open source. Many firms hire PHP developers as there is a huge demand for them. So if you are into web development then this is the programming language to learn.

Learn with Aedifico Tech, the best web development training institute

‘Aedifico Tech’ a premiere technical skill training institute takes care of your programming needs and offers you with best training programs in new age digital skills as well like Artifical Intelligence, Machine Learning, Data Science, Robotics, Raspberry Pi, Matlab and many more

Faculty Development Program on Python with Machine Learning and Data Science

New Digital Skills is surely getting on people’s mind. There is an urgent need to upgrade your skills even faculties feel the heat now. Delivering professional notes for ‘Faculty Development Program on Python with Machine Learning and Data Science. Feels good to know that everyone is doing their bit to skill-based learning. Aedifico’s mantra has always been to bridge the skill gap, technology is creating.

 

Getting fresh with new technologies & training kits at DIDAC 2018

Aedifico’s Director ‘Mr Vaseem Durrani’ attending the DIDAC India Conference 2018, feels excited to see a lot of new possibilities and development in technology, also on the agenda was to interact with the global academic key players to do alliances for visionary projects in future.

‘Mr Vaseem’ says

“The technology is booming and so is learning methods for young generation, One has to keep updating to be in the game. There is a strong force for new age skills like machine learning, artificial intelligence, data science etc, these skills will take your career graph to heights as the demand in this field is going to be more than ever in the near future.”

 

Machine learning – Replacing or redesigning work!!!

For past few years work in machine learning has seen a lot of progress.  Along with it the debate, rather, the fear of robots replacing the humans in the workforce has also been emerging. While there are some optimists who thinks that its nothing new in fact a process of evolving. But according to MIT professor Erik Brynjolfsson and his colleagues, this debate needs to take a different tone.

Machine Learning in Delhi

New research finds that automation is not all about replacing the entire occupation but the some specific tasks within the jobs. Some jobs will be more heavily impacted than the others.

“Our findings suggest that a shift is needed in the debate about the effects of AI: away from the common focus on full automation of entire jobs and pervasive occupational replacement toward the redesign of jobs and reengineering of business practices,” the researchers write in an article published in May in the American Economic Association Papers and Proceedings.

“Despite what Hollywood is saying, we’re very far from artificial general intelligence. That’s AI that can just do everything a human can,” Brynjolfsson said. “We don’t have anything close to that. We won’t for decades, unless there’s some amazing breakthrough.”  What we do have are powerful narrow AI systems which are capable of solving certain, specific problems at human or super-human levels of accuracy, typically using deep neural networks. Those technologies are adept at tasks involving predictive analytics, speech and image recognition, and natural language processing, among others.

“But that’s not everything—it’s some things,” he said. “That raises the obvious question: what are the tasks that this amazing AI can do well, and which are the tasks they can’t do?”

To answer those questions, the researchers developed a 23-question rubric to determine whether a task is suitable for machine learning. How high or low a task’s score is on the rubric indicates how susceptible it may be to automation and machine learning, Brynjolfsson said. He and Tom Mitchell published the original rubric in the journal Science in December, 2017.

“Automation technologies have historically been the key driver of increased industrial productivity. They have also disrupted employment and the wage structure systematically,” the researchers write. “However, our analysis suggests that machine learning will affect very different parts of the workforce than earlier waves of automation … Machine learning technology can transform many jobs in the economy, but full automation will be less significant than the reengineering of processes and the reorganization of tasks.”

Radiologists, for instance, have 26 distinct tasks associated with their job, Brynjolfsson said. Reading medical images is a task well-suited for machine learning, with computers starting to become better at image recognition than humans. But interpersonal skills like conveying health care information to a patient are not as easily or effectively performed by machines, he said.

“In almost every occupation, there are at least some tasks that could be affected, but there are also many tasks in every occupation that won’t. That said, some occupations do have relatively more tasks that are likely to be affected by machine learning” Brynjolfsson said, noting that a job like a concierge could be, and is being, mostly replaced by services based on machine learning from companies like Google. Jobs like massage therapists, which don’t have much potential for machine learning, are likely to be the least affected, according to the study.

The researchers recommended looking at the tasks within each occupation that have high potential to be automated by machine learning, separating them from the tasks that do not, and reorganizing the job to match those developments. Machine learning could be doing the tasks it is ideal for, they write, while human labor could be freed up to do more of the activities machine learning is not well-suited for, with a net effect of increased profitability.

That’s not to say new developments in machine learning couldn’t have a wider impact on jobs and the economy in the future. “Matching the evolving state of the art in ML in the future will require updating the rubric accordingly,” they write.

This has also seen an increase in students opting for machine learning training and courses more out of interest and attraction than the need. There are many machine learning training institute in Delhi and Aedifico Tech is simply the best premium institute of the lot that provide an in depth knowledge about AI and machine learning along with hands on projects and exposure to live implementations of the concepts.

Must Have New Skills – A.I, Machine Learning and Automation

Given the layoffs in IT industry, it’s important to keep in mind and understand skills that are becoming outdated and being replaced by new skills which are highly in-demand. Jobs in fields such as manual testing, tech support, system administration have become outdated and are being affected by the developments in the field of A.I, machine learning, automation and robotics process automation based systems.

A.I, Machine Learning, Automation, and Robotics

Moreover, with newer developments in artificial intelligence (AI), robotic process automation and cloud computing, which helps complete the job with less manpower, software companies are now having to reconsider their strategies. Furthermore, many software developers are on the verge of losing their jobs as they fail to upgrade their knowledge to newer technologies. However, there is a surge in demand for latest and innovative technologies like data science, artificial intelligence, hardware product programming, machine learning. These are the fields where demand is higher than supply and hence people with these skills can get a premium on their salaries.

Job cuts in Indian I.T. companies will be 1.75 -2 lakh per year in next 3 years, due to under-preparedness in adopting newer technologies hence it is better to invest money right now and be prepared for the future jobs. Although, as mentioned, due to lack of skilled individuals, people equipped with these skills can get better salaries. Furthermore, in my opinion, one must have the 3 Cs to sustain in the uncertain Job Scenarios:-

  • Complex Problem-Solving Skills which involves computational thinking and solving real-time
    problem.
  • Creativity & Innovation
  • Critical thinking

If you are in the I.T. industry, get started in new domains which can lead to employability. Furthermore, just knowing the basics isn’t going to cut it. People need to establish themselves as an authority in their chosen field and have expertise in it.