machine learning


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machine learning

n
(Computer Science) a branch of artificial intelligence in which a computer generates rules underlying or based on raw data that has been fed into it
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As data generation becomes quicker and increases in quantity, thanks to social media, Big Data and analytics and IoT technologies, experts believe if partners added machine learning to their storage offerings, the prospects could be even bigger.
Artificial intelligence and machine learning is used to enhance the monitoring, detection and prediction of critical IT, security and business events.
According to a statement, the Machine Learning Crash Course (MLCC) offers the same educational material previously provided to over 18,000 Googlers.
Experts will discuss their latest research in fields as diverse as data mining, signal processing, human-centric machine learning, acoustics and facial recognition technology.
In response, security professionals said they will increasingly leverage and spend more on tools that use AI and machine learning, To reduce adversaries' time to operate.
The team will lead the company's efforts to leverage big data, analytics and machine learning to allow companies to gain deep, actionable insights and improve customer experiences.
The addition of the Argyle team and its platform enhances Mavenir's existing 5G, security and signaling machine learning suite to offer next generation revenue protection for mobile network operators and their subscribers.
Paladino said that at RevUnit, he generally classifies artificial intelligence with machine learning because of the interrelationship of the two technologies.
Managing Director Emerging Markets Criteo, Dirk Henke, said, "As smart technologies like data analytics, automation and machine learning continue toward their inevitable convergence, marketing and advertising will experience yet another dynamic shift which will transform the nature of these industries.
Many may also be surprised to know that non-data scientists or business stakeholders play an important and significant role in recognizing opportunities to apply machine learning.
Gill is now one of the women leading the charge in enterprise-level machine learning experiments.
Human reviewers remain essential to both removing content and training machine learning systems, because human judgement is critical to making contextualised decisions.

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