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Artificial
Intelligence:
AI has
become the mainstream technology for both small and large businesses, and it
will bloom in the next few years. At present, we are at the initial stage of
using artificial intelligence, but in 2021, we will see more advanced
applications of AI in all fields. The reason AI is growing rapidly is that it
allows enterprises to improve their overall business processes, and provides a better way of handling both customer and client’s data.
Though
utilizing AI will still remain a challenge for many, as exploring the
advancement of this technology is not that simple. In 2021, we will find more
advanced apps developed with AI, Machine learning, and other technologies that
can improve the way we work. Another trend that will take over the market is
automated machine learning that will be helpful in transforming data science
with better data management. So, you might need specialized training for
executing deep learning.
Natural
Language Processing:
Natural
Language Processing (NLP) has made its way firmly into Data Science after huge
breakthroughs in Deep Learning research.
Data Science
first began as an analysis of purely raw numbers since this was the easiest way
to handle it and collect it in spreadsheets. If you needed to process any kind
of text, it would usually need to be categorized or somehow converted into
numbers.
Yet it’s
quite challenging to compress a paragraph of text into a single number. Natural
language and text contain so much rich data and information - we used to be
missing out on it since we lacked the ability to represent that information as
numbers.
Huge advancements in NLP through Deep Learning are fuelling the full-on integration of NLP into our regular Data Analysis. Neural Networks can now extract information from large bodies of text incredibly quickly. They’re able to classify text into different categories, determine sentiment about a text, and perform analysis on the similarity of text data. In the end, all of that information can be stored in a single feature vector of numbers.
As a result, NLP becomes a powerful tool in Data Science. Huge datastores of text, not just one-word answers but full-on paragraphs, can be transformed into numerical data for standard analysis. We’re now able to explore datasets that are far more complex.
Data Science
has become one of the growing fields in all industries, especially the IT
industry. Thus, businesses adopting data science techniques and technologies
must stay up-to-date with the latest trends. If you are looking to learn data
science and want to work on data science trends then I would recommend you to
take a look in Technogeeks Data Science program by working IT
professionals.
Deep learning is also known as deep structured learning. It is part of a broader family of machine learning methods based on learning data...
