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.

ArticlesPublished 12
Main Tag#machine-learning

Prerequisites

  • Python Base
  • Linear Elementary Algebra
  • Base probability

What you'll learn

  • Understanding Bias-Variance Tradeoff
  • Implement linear and logistic regression from scratch
  • Compare models with cross-validation
  • Recognize overfitting and apply regularization

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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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Computer Security and CTF

Cybersecurity concepts reworked by the CyberChallenge UniBa: web security (XSS, SSRF, SSTI), pwn (stack overflow, ROP), forensics (memory dumps), crypto basics.

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