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Neural Computing Book

Foundations for Neural Computing

Toolkit
Python Foundations
Statistical Thinking Foundations
Mathematical Thinking Foundations
Computational Thinking Foundations

Data Science

Data Exploration
Data Processing
Data Analysis
Data Visualization
Data Prediction

Machine Learning

Machine Learning Overview
ML - Regression
ML - Classification
ML - Clustering
ML - Model Validation
Model Explainability

Scientific Machine Learning

Neural Networks - Part 1
Neural Networks - Part 2
Physics-Informed Neural Networks
System of Differential Equations
Parameter Estimation

Ethics

Data Ethics

Applications

Application to Disease Dynamics

Colab

Repository
Open issue

.ipynb

Model Explainability

Model Explainability#

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ML - Model Validation

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Neural Networks - Part 1

By Alonso Ogueda-Oliva & Padhu Seshaiyer

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