Machine Learning

  • Lecture Notes on ML
  • My highlights on ML
  • FRIB-TA Summer School on Machine Learning in Nuclear Experiment and Theory
  • Machine Learning weeks at MSU-FRIB/NSCL, May 2020
  • MACHINE LEARNING FOR QUANTUM DESIGN

    Materials on Coursera

  • Deep Learning Course by Andrew Ng (notes)

    • Some projects

  • Human Activity Recognition with accelerometer data (pdf)

    Kaggle

  • California Housing Prices

    Personal Interest

  • Face Recognition for Yao Family's Members (Using Keras)

    Research

  • Computing kernels with ML techniques (2 dimension case)

    References

  • A high-bias, low-variance introduction to Machine Learning for physicists
  • A Practical Guide to Training Restricted Boltzmann Machines (G. Hinton)
  • Restricted Boltzmann Machines for Collaborative Filtering

    Recent Papers

  • Recent Research Papers in CS
  • Recent Research Papers in Statistics

    Books

  • Hands-on Machine Learning with Scikit-Learn and TensorFlow
  • Recommended books

    Blogs

  • Deep Learning meets Physics: Restricted Boltzmann Machines

    Applications

  • Deep Learning for Anomaly Detection: A Survey
  • Optimization Models for Machine Learning: A Survey
  • A Survey of Credit Card Fraud Detection Techniques: Data and Technique Oriented Perspective

    Quantum Computing

    INT Workshop
    QISKIT
    quirk circuit