AppOC

Introduction

  • Welcome

Module 1: Machine Learning (ML)

  • Introduction
  • Optimization in Machine Learning
  • Decision Trees, Random Forest and XGBoost
  • PCA

Module 2: Neural Networks (MLP)

  • Neural Networks
  • Multi-layer Perceptron a Scikit
  • Multi-layer Perceptron a PyTorch
  • Project: MycalCOFI
  • Introduction to NetCDF and xarray

Module 3: Temporal Series

  • Introduction to Time Series
  • Recurrent Neural Networks (RNN)
  • Exercise: RNN to predict SST
  • LSTM and GRU
  • Project: Sea Surface Temperature Prediction

Module 4: Image Analysis

  • Image analysis
  • Image models
  • Other tasks
  • Project

Module 5: Text

  • LLM Fundamentals
  • Prompt Engineering
  • Tokenization
  • Agents
  • Evaluation and Limitations of LLMs
AppOC
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© Copyright 2026, Gabriel Moyà Alcover.

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