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Machine Learning

Machine learning (ML) uses statistics and mathematical models to detect patterns in historical data and learning algorithms to make predictions about new data. ML encompasses a range of methodologies and application areas, including:

Artificial Intelligence
Robotic Engineering
Software Bots



Machine Learning Webinars

AI adoption requires a lot of cross-team engagement and collaboration, but despite the large contribution to the global economy AI presents to...


Machine Learning Q&As

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Answered by: Andrew Amann | CEO and co-founder, NineTwoThree Venture Studio

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Answered by: Andrew Amann | CEO and co-founder, NineTwoThree Venture Studio

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Answered by: Dr. Tehseen Zia | Assistant Professor at Comsats University Islamabad


Machine Learning Downloads

Image for Key Applications for AI in the Supply Chain
In a hyper competitive world, those companies that can attain greater control, resilience and predictability with their supply logistics will realize a significant...
Image for AI and ML in the Oil and Gas Industry
AI and ML in the Oil and Gas Industry. Download.
Image for AI in the Insurance Industry: 26 Real-World Use Cases
AI in the Insurance Industry: 26 Real-World Use Cases. Download.
Image for Machine Learning and Why It Matters
Read the basics and essential concepts that help define machine learning and its new important role in business as we know it.

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