The following resources have been used for preparing this course:
Machine learning
Books
- Introduction to machine learning with Python: a guide for data scientists (on Amazon)
- Statistics with Julia, Fundamentals for data science, machine learning, and artificial intelligence (webpage)
- Julia High Performance: Optimizations, Distributed Computing, Multithreading, and GPU Programming With Julia 1.0 and Beyond, 2nd Edition. Avik Sengupta. 2019.
- Machine learning yearning (free download)
Online courses
- Machine learning, Andrew Ng (on Coursera)
- Neural Networks and Deep Learning (on Coursera)
- Mathematics for Machine Learning: Linear Algebra (on Coursera)
- Mathematics for Machine Learning: Multivariate Calculus (on Coursera)