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Get Perfect Machine Learning Examples

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Machine learning techniques are becoming increasingly more widespread in applications. We use apps based on machine learning every day, and one typical example is Apple’s Siri. Get More Perfect Machine Learning Example visit our website. – PowerPoint PPT presentation

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Title: Get Perfect Machine Learning Examples


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Get Perfect Machine Learning Examples
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Siri To begin with, Siri uses various
technologies, including question analysis,
natural language processing, machine learning,
and data mashups. Speech recognition, in
particular, involves spoken word conversion to a
sequence of words, also known as speech to text
(STT) or automatic speech recognition (ASR).
Speech recognition apps are available in many
forms and can be found in home appliances, cell
phones, data entry, medical transcriptions, air
traffic controllers, and more. The training
process of a speech recognition systems demands
several techniques, and the level of complexity
varies depending on the nature of the training.
Siri doesnt understand the English language, but
because it is based on a set of specific
templates that trigger specific actions, it
adapts making you believe its human. It
doesnt learn new things, but it can be expanded
and extended. It can only perform programmed
tasks.
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Cortana Microsofts Cortana is smart enough to
crack a joke and tell whether you should leave
early for work because theres a lot of traffic.
You cannot trust it completely, but its a start.
Cortana redefines the term virtual assistant
because it was built following a model called
dynamic learning. Cortana is an advanced
business intelligence (BI) analytics suite a
data storage package that includes information
management system, business intelligence
software, machine learning, all wrapped up in a
monthly service subscription. Available on
Microsofts Azure Cloud, Cortana enables startups
and businesses to completely transform their data
into intelligent actions. It allows users to
process data from a many different data sources
change that data, apply machine learning and data
mining to advanced analytics techniques, and then
extract actionable information that enables
businesses to take timely, intelligent actions.
4
Everyone knows Google Translate, and many
people depend on it. But how can the website
translate between over 100 human languages so
seamlessly? Sure, there are sentences, grammar
and structure problems to most translations but
nevertheless, its still accurate. At the core of
Google Translate theres a technology called
machine translation, which has managed to
change completely the way people communicate. In
the last two years, the approach to basic machine
translation has been completely rewritten by deep
learning. Theres a pretty fascinating piece of
technology hidden behind this breakthrough, known
as sequence to sequence learning. The technique
is pretty powerful and it can be used to fix many
problems. Weve seen what it can do for Google
Translate. But did you know that the same
algorithms can be applied to describe pictures
and write AI chat bots?
5
PayPal Uses Machine Learning to Detect
Fraud Detecting Fraud within banks is another
Machine Learning Example, lets explorer in depth
how PayPal uses Machine Learning. Fraud detection
matters a lot because it addresses a problem
thats urgent, and machine learning can help
combat fraud. PayPal for example an
international online payments system that serves
as an alternative to conventional payment modes
and deals with money transfers online has dealt
with its fair share of fraudulent transactions
over the years. So its only natural to think
that the company would do just about anything to
combat fraud.
6
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