Along with the cutting edge technologies of Artificial Intelligence, Machine Learning Using Python and Deep Learning for computer vision with Python, Artificial Neural Network technology are catching up fast to be the next biggie in the domain of technology.
This new technology has already started influencing Machine Learning and computer vision prominently. In addition, numerous other fields are also likely to be benefitted shortly, according to the researchers.
Now, it is not far that we will be making pin-pointed weather reports, studying the climate inside out, the likes of it were seen never before. Even the animals would not remain alien to us anymore. Besides, countless other secrets of cosmology would be unveiled effortlessly with the improving technology of Artificial Neural Network (ANN)
An Introduction to the Artificial Neural Network
Artificial Neural Network is the innovative approach of modelling the AIs on the human brains to infuse in them the ability to learn through experiences. ANNs have been largely used to study the assimilated data and analyze it thoroughly to reveal significant patterns, relationships and associations. But, in recent years, the ANNs have shown potential for much more.
Looking at the Future of Artificial Neural Network
With the extensive R & D in favour of Artificial Neural Network, some other services which will be greatly improved in the upcoming years are:
We have come a long way from merely predicting the natural phenomenon like hailstorms. With the Convolutional Neural Networks (CNNs), the hailstorms can be accurately mapped. Besides, even the size of the hails can be asserted with the help of this all-new technology.
Migration of the birds
The field of Ornithology would also be enjoying a boost with the CNNs. The Neural Network Machine Learning Python is all set to track the changing routes of the migratory birds effortlessly.
Apart from all these, with the improving technology of the Artificial Neural Networks, several other lesser-known secrets of the universe like the dark matter would also be grasped with ease in the coming age. So, reach for the Neural Networks Training in Delhi now, if you are interested in this expanding technology.
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For a lot of quantitative corporate personnel, the raging debate between the tools of choice for analytics has been known to cause some rival enthusiasm instead of the age-old political debates on Thanksgiving!
The SAS vs. R debate was already hotly underway for the past couple of years, but recently many analytics professionals and aspiring analysts have requested us to include a comparison of Python in our debates. So, we decided to keep things light and simple and only asked a single question – “which analytics tool do your prefer to use: SAS, R Programming or Python?”
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Gradually our survey results have been showing a growing demand for open source tools over the past few years. In fact so much so, that this year almost 61.3% of respondents in a survey conducted by KDnuggets chose R and Python over 38.6 percent of people still opting for SAS. As it is SAS is a great tool for large companies to conduct their data analytics.
Are you keen on learning more about these numbers? So were we, so tallied a few survey results and opinions of analytics professionals to determine which is the better data analytics tool to learn first. And here is what we found…