Learn Model Interpretability and Explainability Methods

Explainable and Interpretable Models in

📁 Explainable and Interpretable Models in Computer Vision and Machine Learning

✍ Hugo Jair Escalante, Sergio Escalera, Isabelle Guyon, Xavier Baró, Yağmur Güçlüt 📂 Library 📅 2018 🏛 Springer International Publishing 🌐 English

This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning.Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with al

Explainable and interpretable models in

📁 Explainable and interpretable models in computer vision and machine learning

✍ Baró, Xavier; Escalante, Hugo Jair; Escalera, Sergio; Gerven, Marcel van; Güçlü, 📂 Library 📅 2018 🏛 Springer 🌐 English

This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning. Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like per

Explainable and Interpretable Models in

📁 Explainable and Interpretable Models in Computer Vision and Machine Learning

✍ Hugo Jair Escalante; Sergio Escalera; Isabelle Guyon; Xavier Baró; Yağmur Güçlüt 📂 Library 📅 2018 🏛 Springer 🌐 English

This book compiles leading research on the development of explainable and interpretable machine learning methods in the context of computer vision and machine learning. Research progress in computer vision and pattern recognition has led to a variety of modeling techniques with almost human-like per

Explainable AI: Interpreting, Explaining

📁 Explainable AI: Interpreting, Explaining and Visualizing Deep Learning

✍ Wojciech Samek, Grégoire Montavon, Andrea Vedaldi, Lars Kai Hansen, Klaus-Robert 📂 Library 📅 2019 🏛 Springer International Publishing 🌐 English

The development of “intelligent” systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting factor for a broader adoption of AI technology is the inherent risks that come with giving up human control and oversight to “intelligent” ma

Explainable AI: Interpreting, Explaining

📁 Explainable AI: Interpreting, Explaining and Visualizing Deep Learning

✍ Wojciech Samek; Grégoire Montavon; Andrea Vedaldi; Lars Kai Hansen; Klaus-Robert 📂 Library 📅 2019 🏛 Springer Nature 🌐 English

The development of “intelligent” systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting factor for a broader adoption of AI technology is the inherent risks that come with giving up human control and oversight to “intelligent” machines

Interpretable Machine Learning with Pyth

📁 Interpretable Machine Learning with Python: Build explainable, fair and robust high-performance models

✍ Serg Masis 📂 Library 📅 2023 🏛 Packt 🌐 English

A deep dive into the key aspects and challenges of machine learning interpretability using a comprehensive toolkit, including SHAP, feature importance, and causal inference, to build fairer, safer, and more reliable models. Purchase of the print or Kindle book includes a free eBook in PDF format.