Moving forward, using machine learning to optimize media quality for real-time communications is going to be critical.

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What math subjects are used in machine learning, and how are they used? In this research paper by Richard Han, Ph.D., we look at the mathematics behind the machine learning techniques linear regression, linear discriminant analysis, logistic regression, artificial neural networks, and support vector machines.

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As you progress to a fully-functional machine learning-based recruitment system, candidates will find it works for them as well because if candidates aren't suitable for one role, the system will automatically match them up with another.

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Getting a great candidate for a job requires writing a good job description and being careful about AI-driven hiring trends. Plus, how data science is applied to higher education.

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Banks and regulators grapple with ‘XAI’ challenge

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Machine learning services in the cloud continue to rise in popularity, as enterprises crave greater insight into their data and look to build more interactive applications. AWS, Azure, Google and IBM all have a wide range of machine learning tools, but how much do you know about them?

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"George Brocklehurst, Development Director of thoughtbot New York, presents an Intro to Machine Learning workshop. In the first half, he answers what is Machine Learning and what can it do, discusses

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Energy-intensive industries like oil and gas production, says Schneider Electric Chief Digital Officer Herve Coureil, will be the first to experience the efficiencies created by artificial intelligence.

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The agency model is changing. By taking an audit of your existing services, forming partnerships with emerging platforms and staying in the know, your agency will be set up for success.

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Duality Group CEO says people should abandon ‘top-down, godlike model’ and their need to understand

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