sergiomorapardo/StochasticAITechniquesClass

Material del curso 'Técnicas Estocásticas de IA'. Cubre modelos de predicción, clasificación y procesos estocásticos.

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This project provides educational materials for those looking to understand and apply statistical models and stochastic processes to real-world problems. It takes raw data, guides users through applying techniques like linear regression or Markov chains, and helps them build models for prediction, classification, and optimization. Data scientists, machine learning engineers, and analysts who want to enhance their problem-solving skills in AI will find this useful.

Use this if you are an aspiring or practicing data professional needing to learn fundamental and advanced stochastic AI techniques with practical examples and common pitfalls.

Not ideal if you are looking for a plug-and-play software solution or advanced, cutting-edge research in AI that goes beyond foundational and common stochastic methods.

data science education machine learning fundamentals predictive modeling statistical analysis time series forecasting

No Package No Dependents

Maintenance 6 / 25

Adoption 4 / 25

Maturity 13 / 25

Community 15 / 25

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Language

Jupyter Notebook

License

MIT

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