FYI
Section: Machine Learning
Entry
Appears in 4 awesome lists
Machine learning and deep learning tutorials, articles and other resources.
Section: Machine Learning
Section: Resources · Machine learning and deep learning tutorials, articles and other resources.
Section: More advanced resources and lists
Section: Technical · Machine Learning and Deep Learning Tutorials
The definitive curated list of machine learning frameworks, libraries and software organized by language. Covers Python, C++, Java, JavaScript, and more with comprehensive coverage of the ML ecosystem. CC0-1.0 licensed.
A curated list of awesome Deep Learning tutorials, projects and communities.
Curated list of artificial intelligence courses, books, video lectures, and papers for developers and researchers. MIT licensed.
Renown entry-level online class with certificate. Taught by: Andrew Ng, Associate Professor, Stanford University; Chief Scientist, Baidu; Chairman and Co-founder, Coursera.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
arXiv is a free distribution service and an open-access archive for 2,142,712 scholarly articles in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering and systems science, and economics
kaggle has built-in free jupyter notebook.; One can also connect to Google BigQuery to access big data.
Curated resources and tools for applied machine learning in industry.