Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Modelling and Machine Learning Methods for Bioinformatics and Data Science Applications

Modelling and Machine Learning Methods for Bioinformatics and Data Science Applications

Bianchini, Monica
Lucia Sampoli, Maria

Hardcover

General ComputersGeneral MathematicsGeneral Science

ISBN10: 3036528407
ISBN13: 9783036528403
Publisher: Mdpi Ag
Published: Jan 12 2022
Pages: 102
Weight: 0.94
Height: 0.44 Width: 6.69 Depth: 9.61
Language: English

Mathematical modeling is routinely used in physical and engineering sciences to help understand complex systems and optimize industrial processes. Mathematical modeling differs from Artificial Intelligence because it does not exclusively use the collected data to describe an industrial phenomenon or process, but it is based on fundamental laws of physics or engineering that lead to systems of equations able to represent all the variables that characterize the process. Conversely, Machine Learning methods require a large amount of data to find solutions, remaining detached from the problem that generated them and trying to infer the behavior of the object, material or process to be examined from observed samples.

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