A very important technique in unsupervised machine learning as well as dimensionality reduction is Principal Component Analysis (PCA). But PCA is difficult to understand without the fundamental mathematical underpinnings. The two instructional videos below (Part 1 and 2) demonstrate PCA at an introductory level to provide an appreciation for this powerful tool used in big data applications.
PART 1:
PART 2:
In this contributed article, Toby Mills, CEO of Entopy, looks at the trend for organizations to turn to technologies such as artificial intelligence and blockchain in an attempt to find a ‘silver bullet’ to unlock the next wave of business transformation. But unless the right data is gathered in the first place – and harnessed […]
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This white paper from Veritone discusses how compliance represents a major risk for contact centers, with violations potentially costing organizations millions of dollars in fines and causing reputational damage to the brand. The current method of monitoring calls — using manual review of recorded conversations — does not come close to meeting the requirements for comprehensive monitoring of regulated interactions. AI text-to-speech technology provides the solution to this dilemma, with its capability to transcribe, translate, redact, find objects and generate searchable indexes of limitless hours of recorded calls in near real-time.
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