Littérature de cours en Data & AI

Data Mining and Machine Learning

Random Matrix Methods for Machine Learning

Hands-On Network Machine Learning with Python

Natural Language Processing

Mathematical Analysis of Machine Learning Algorithms

Tensor Decompositions for Data Science

Acting, Planning, and Learning

Linear Algebra for Data Science, Machine Learning, and Signal Processing

The Art of Inpainting

Bayesian Optimization

Verifiable Autonomous Systems

Adversarial Learning and Secure AI

Inference and Learning from Data: Volume 2

Inference and Learning from Data: Volume 3

The Science of Deep Learning

Hey Cyba

Online Learning and Adaptive Filters

Bayesian Filtering and Smoothing

Principles of Data Assimilation

Deep Learning on Graphs

Probabilistic Numerics

Artificial Intelligence and Digital Twin-Based Big Data Analytics for Blockchain-IoT Enabled Applications

The Heart and the Chip

Between the Spreadsheets