INSUBCONTINENT EXCLUSIVE:
One of the hallmarks of human intelligence is to be able to incorporate learning, and to get smarter over time as new data gets integrated
abilities, they must be programmed quite precisely to harness this power, and do not have any ability to integrate learning
version of the software running on the computer.Machine learning is the branch of computing that incorporates algorithms to analyze data
which is inputted, and via statistical analysis can make a prediction on an output, while incorporating new data as it becomes available, to
update the predicted output.In other words, the algorithm allows the computer to incorporate new data, and update its algorithm over time,
so that learning is effectively taking place
intelligence is considered the broader term of which machine learning is a subtype.The phrase machine learning dates back to 1959, when
Arthur Samuel, a pioneer in the fields of computer gaming and artificial intelligence and a research professor at Stanford University,
to checkers, which he perceived to be an ideal subject due to the simplicity of the game
Due to the lack of available computing power at the time, rather than attempt to run every possibility, his algorithm used alpha-beta
pruning (a variant of the Minimax algorithm) to choose a move based on the position of the pieces, including the location of king pieces,
champion, considered the fourth ranked player in the nation at the time, lending credence to his work.This paved the way for more
ground-breaking work in the field of machine learning
champion Garry Kasparov in a series of matches in the more complex game of chess.Even more recently in 2016, Google took on the even more
complicated game of Go, a popular Chinese board game known for its high level of strategy
Using the AlphaGo algorithm for machine learning, a product of Google DeepMind, a professional player was beaten in an impressive five
consecutive games.Machine learning has been applied to more than just games
In 2012 at Google X Labs, a machine learning algorithm was designed to go through YouTube videos, and independently identify those that have
a cat in the video stream
By 2014, Facebook had a machine learning algorithm, DeepFace, that could match images of faces to a person with over 97% accuracy, which
approaches the performance of a typical human when it comes to that task.In order to facilitate more projects, in 2015, Microsoft debuted
its Distributed Machine Learning Toolkit, which currently includes Distributed (Multi-sense) Word Embedding for high quality natural
language processing.The technology of machine learning has also been applied to robots and their ability to carry out complex tasks
There has been interest in military applications, and this has caused many tech luminaries, including Stephen Hawking and Steve Wozniak, to
On the other hand, autonomous technology promises to make cars safer to drive, and this was recently showcased with the tech implemented in
a classic vehicle, a 1965 Ford Mustang, at the Goodwood Festival of Speed.Business benefitsBusinesses have also embraced machine learning,
and an example of this is automated chatbots that reduce levels of customer interaction with more expensive customer support
customers, towards text interaction
and inquires about whether the customer has any questions.The goal is to have Luvo help 10% of customers, with the ability to answer simple
questions directly, and direct others with more complicated issues to the correct human agent to provide more definitive help
The thinking is that by having Luvo handle the simpler tasks, this frees up human advisors for the more complicated customer issues.This
particular strength in natural language recognition
This incorporation of machine learning in the form of a chatbot at the Royal Bank of Scotland, driven by cost and time savings for customer
service, is part of a wider trend, which other companies have embraced with obvious dividends
However, Facebook shut down its text-based chatbot, M, earlier this year, so the transition is hardly seamless as viable applications for
this technology are sought.Music to your earsMachine learning has also been applied to online music streaming
Over at Spotify, the sprawling on-demand music service with over 100 million users, the firm applies machine learning to stream music that
matches your musical taste
achieved through machine learning algorithms that incorporate data from collaborative filtering which analyzes your listening behavior and
similar fans, along with natural language processing which incorporates text, and audio analysis of the tracks directly.All of this data
that Spotify employs.With machine learning able to best human champions at multiple strategic board games, the power of these algorithms
that can incorporate new data into their decision-making process has been clearly demonstrated
And now, diverse industries, from customer service, through autonomous driving, to curated music streaming, have shown the power of
incorporating machine learning algorithms as well.hjWJPiW65uB9S2a37yd6u5.jpg#
