Numerical Methods and Scientific Computing

Errors in machine, linear systems, interpolation, ODEs, optimization. With NumPy/SciPy. From UniTO Numerical Methods (105h audio).

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Main Tag#numerica

Prerequisites

  • Mathematical Analysis
  • Linear Algebra

What you'll learn

  • Understand stability and propagated error
  • Solve Linear Systems (LU, QR)
  • Interpolate with polynomials and splines
  • Integrate ODE with Runge-Kutta

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Fundamentals of Money Management

Foundations of Machine Learning reworked from university Jupyter notebooks: from basic math to supervised and unsupervised models, with scikit-learn and PyTorch code.

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Probability and Statistics

Transcription and summary of the 50 video lessons from the Probability and Statistics course at UniBa. Random variables, distributions, estimation, hypothesis testing, regression.

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Design Patterns in Production

Six structural and behavioral patterns extracted from LabSAS 2021-22 (UniBa Software Application Development), explained with Java multi-module examples and unit tests.

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