z = −1 + i nα = θ + 2πk u = ρ (cosα + isinα) u = ρ (cosα + isinα) f(x) = 3x − 2' −x + 2y + z + t = −1 2x + 2y + z + 4t = 0 C = {z = x + iy x, y ∈ IR}

Machine learning for public and private tenders

The client is a company operating in the fields of medical imaging, laboratory diagnostics and IT solutions for healthcare facilities. In close collaboration with the client, we have created a machine learning algorithm able to simplify and improve the preparation phase to public and private tenders, setting a pre-competitive scenario.

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Reduced workload
Better management
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z = −1 + i nα = θ + 2πk u = ρ (cosα + isinα) f(x) = 3x − 2 z = r (cosθ + isinθ) ax + by + cz + d = 0 a (f(x + T) = f(x), ∀ x ∈ IR) (f(−x) = f(x), ∀ x ∈ D) 2x + 2y + z + 4t = 0 [x0 −r, x0 + r] (cosnα + isinnα) = (cosα + isinα)n z = −1 + i nα = θ + 2πk

A combination of three innovative technologies