Skip to content

machine-learning-2020

  • Home
  • ML-101
  • ML-102
  • Books
  • Learning
    • DataBase
    • Tutorial
    • Lectures
    • Videos
    • Computer Experiments
    • References
    • PhD Thesis
      • English
      • French
  • Applications
    • TCAD-EDA
    • Semiconductor
    • Software
      • SCIKITLEARN
      • Sandia National Laboratories
        • DAKOTA
        • Publications
  • Machine Learning Techniques
    • General Papers
    • Gaussian Process
      • Gaussian Process : PhD Thesis
      • Publications
    • Artificial Neural Networks
    • Genetic Algorithm
    • Meta-Models
    • Genetic Programming
    • Least Squares, Weighted Least Squares, Moving Least Squares Methods

Books

The book pictures are linked to the book’s editor or the book’s author if the book is free available on internet

Engineering Design via Surrogate Modelling: A Practical Guide

Variation-Aware Design of Custom Integrated Circuits: A Hands-on Field Guide

Information Theory, Inference, and Learning Algorithms

Variation-Aware Analog Structural Synthesis

Estimation of Rare Event Probabilities in Complex Aerospace and Other Systems

Bayesian Reasoning and Machine Learning

Introduction to Rare Event Simulation

Least Squares Support Vector Machines

Statistical Learning and Sequential Prediction

Understanding Machine Learning: From Theory to Algorithms

Post navigation
Older posts
Newer posts
← Previous Page1 … Page3 Page4 Page5 Page6 Next →
© 2026 machine-learning-2020 • Built with GeneratePress