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Artifical Intelligence Shaping the World

How to go after the most pronounced computer language these days? Yes, we are talking about Artifical Intelligence (AI) which is looking to disrupt manual human interference in many ways and create a space of its own. Thought a lot of people will feel how this helps our generation since its cutting down on human intelligence, but its not entirely correct, there are many things which need to be done beforehand to better position your AI technology to work. Yes, it will work on its own to a greater extent, but getting it to work is a man’s job after all who will design the course for it. With this, we say you can gain expertise in one of the most fascinating and fastest growing areas of computer science through an innovative online program that covers fascinating and compelling topics in the field of Artificial Intelligence and its applications. This AI Program course from the ‘Artifcial Intelligence – Best Robotics and AI Training Institute in Delhi‘ will give you a rigorous, advanced, professional, Job-level prospects in Artificial Intelligence.

Job Outlook

  • Though Artificial Intelligence is one of the fastest-growing areas for high-tech professionals, there are too few qualified engineers, according to a recent report.*
  • Robotics and artificial intelligence will impact wide segments of daily life by 2025, with huge implications for a range of industries such as health care, transport and logistics, customer service, and home maintenance.*
  • The need for AI specialists exists in just about every field as companies seek to give computers the ability to think, learn, and adapt (as referred by IEEE)*
  • Exciting and rewarding career opportunities as a Machine Learning Software Engineer, Deep Learning Specialist, Data Scientist, Automation Engineer, 3D Artist, Computer Vision Engineer, and many more!*

*excerpts taken from a genuine source

Also the companies these days are exclusively asking for candidates who can do wonders in AI. As stated by US major GE

“We highly value professionals with proficiency in artificial intelligence and machine learning. For us, a candidate credentialed in Artificial Intelligence would have a marked advantage”

With this one can think that learning AI opens many doors to them on their professional outlook.

What You’ll Learn through Aedifico:

  • Solid understanding of the guiding principles of AI.
  • Apply concepts of machine learning to real life problems and applications.
  • Broad applications of AI in fields of robotics, vision and physical simulation.

Aedifico takes good care of the career prospects as well, with our Placement Assured Program, we make sure students can get the right learning, right guidance and right skills needed to get that dream job. We take pride in calling ourselves as one of the few institutes doing so exclusively in this space. Call us or Register with us now

R Programming – Use of Data Sets

Tech giants are harnessing R programming – Use of Data Sets — learn it with best R programming training institute in Delhi and get hired

Data for anything: Facebook uses it to figure out whether users like a status update or a profile pic. Google uses it for assessing the impact of advertising. And companies from Microsoft to Uber to Airbnb use it to crunch their giant mountains of user data.

 

 

 

 

It is R programming. It’s the use of this technology that gives you so many day to day advantages, While the language has been in use for over 25 years, it’s still a go-to discipline for expanding our understanding of vast data sets. And more recently, it’s doing the heavy lifting in the expansion of machine learning and artificial intelligence. Machine Learning and AI (Artificial Intelligence) are getting aggressive and its use is becoming more and more advantageous for people to build path breaking innovations. with this beautiful technology by their side, we can be sure of a bright future to Machine Learning and Artificial Intelligence.

With few tech skills more relevant and in-demand, now’s the time to get up to speed with the Complete Introduction to R Programming Bundle.

Your training begins with five courses that introduce you to understanding R programming, then mastering its aptitude for statistical operations, model building and data visualizations for real world use. The courses include:

1. Introduction to R Programming 
2. Control Flow and Loops in R
3. Working with Vectors & Matrices
4. Data Acquisition with R
5. Visualization of Data
6. Statistical Analysis of Data
7. Data Manipulation in R
8. Modeling using Machine Learning in R

Of course, nothing reinforces learning like good old-fashioned reading, so you can go through numerous e-books available on the internet to learn about R programming.

It’s training that can earn you a six-figure salary as well as provide you a front row seat to the big corporate projects utilizing this R programming technology.

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.

Things to look out for Python in 2018

Before proceeding our view on Python, Let us just remind you that ‘Aedifico Tech’ is currently on with its ‘6 weeks summer training program’ where students will get to learn the upcoming major trending IT hardware and software programming languages with live projects. This way their learning will be much efficient as they can deal with practical problems right away.

Python is the fastest-growing programming language according to the recent internet trends. A question may arise why Python is growing so fast. We know Python can be used for many purposes—Python web development to mobile app development to data science to DevOps. So can be Java, Perl, Ruby, etc. But what sets Python apart from other languages. What is actually driving the growth?

An initial analysis gives out reasons:

  • There is a sudden rise of Python usage in web development
  • Something else is driving this growth. It could be its application in data science, DevOps or something else entirely.

python training institute in delhi

A dynamic language, Python

Python is a multipurpose language used for various tasks, such as web development and data science. How could we unravel Python’s current growth across these fields?

We could examine the growth in traffic from notable Python packages. We could compare the web frameworks Django and Flask to the data science packages NumPy, matplotlib, and pandas. We have used recent trends here.

The new trends

According to the recent trends available with us through ‘Stack Overflow’ overview, pandas is clearly the fastest growing Python package. It was introduced only in 2011.

Questions about the data science packages, numpy and matplotlib, have grown considerable over the years while traffic to Django questions has remained steady during that time. Although Flask is growing, it’s growth is nowhere near those of data science packages of Python.

It is clear the rise of data science is a major driver in the growth of Python as a programming language. But we cannot say for sure if it has beaten Web Development in that metrics.

Libraries & packages

Before we move any further and search the reason behind the phenomenal rise of Python. We would like to introduce you to some of the packages, libraries and frameworks.

Data Science Libraries:

These three powerful libraries enable

pandas: pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. It is free software released under the three-clause BSD license. pandas assumes general familiarity with NumPy.

NumPy: NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. pandas is built on top of NumPy and is intended to integrate well within a scientific computing environment with many other 3rd party libraries.

Matplotlib: Matplotlib is a Python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. Matplotlib can be used in Python scripts, the Python and IPython shell, the jupyter notebook, web application servers, and four graphical user interface toolkits.

Web Development Frameworks

Django: jango is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.

Flask:Flask is a Python web framework built with a small core and easy-to-extend philosophy. Flask is considered more Pythonic than Django because Flask web application code is in most cases more explicit. Flask is easy to get started with as a beginner because there is little boilerplate code for getting a simple app up and running.

Industries that are using

Industries like Academic, Electronics, Government, Tech, Manufacturing, Media, Finance, Energy, Healthcare, Consulting, Retail, Insurance.

As per industry trend, the vertical with the highest amount of Python traffic is academic world, comprised of schools and universities. Is this because Python is often taught in UG programs?

The traffic to Java falls sharply around the time summer while in the case of Python, the fall is more balanced and evident. Java, in fact, is a comparatively a more common subject in UG courses than Python is. Yet, Python takes a larger share of summer traffic. This points to one thing. Research goes on a university round the year, not just Summer, Spring and fall.

Academic researchers make up a majority of the high traffic to Python from universities. They work around the year. According to a question on Quora: What are currently the hot topics in computer science research? answered by Igor Markov, Michigan EECS Prof, who works at Google. Abundant-data applications, algorithms, and architectures is biggest topic of research in computer science.

Conclusion

In any case, data science is an exhilarating, rising field, and there’s ample room for numerous languages to prosper. Our foremost inference is to cheer developers early in their career to start building skills in data science. Python is the fastest growing programming language and data science is the fastest growing field in computer science. We at ‘Aedifico – Best Technical Training Institute in Delhi‘ offers pretty much every modern programming language from our kitty and we tell our students to be serious and sincere so as to stand competitive among the masses.

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.