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

Índex

Índex

© Copyright 2026, Gabriel Moyà Alcover.

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