machine-learning-resources
github.com/datascienceid/machine-learning-resources ↗A curated list of awesome machine learning frameworks, libraries, courses, books and many more.
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Free BooksCoursesVideos and LecturesPapersTutorialsSample CodeDatasetsConferences (Mostly in Indonesia)Libraries
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Conferences (Mostly in Indonesia)
- 2019 International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT)
- International Conference on Advanced Computer Science and Information Systems
- International Conference on Data and Information Science
- International Conference on Science in Information Technology
- International Conference on Signals and Systems
- International Conference on Soft Computing, Intelligent Systems, and Information Technology
Papers
- A Bayesian Framework for Learning Rule Sets for Interpretable Classification
- Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning
- Local algorithms for interactive clustering
- Nearly optimal classification for semimetrics
- On Perturbed Proximal Gradient Algorithms
Courses
Tutorials
Free Books
Datasets
Videos and Lectures
- Complete Tutorial of Apache Spark (Beginner - Intermediate)
Intermediate)
- Gaussian Mixture Models - The Math of Intelligence (Week 7)
The Math of Intelligence (Week 7)
- Intro to Machine Learning by Eric Grimson
- Machine Learning and Data Mining Short Series for Beginner (UC Irvine)
- Machine Learning by Andrew Ng
- Machine Learning Course - CS 156
CS 156
Showing a sample of 56 resources. View the full list on GitHub →