A curated list of awesome machine learning frameworks, libraries, courses, books and many more.
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- Python Data Science Handbook - Jake VanderPlas
- Pengenalan Pembelajaran Mesin dan Deep Learning (Bahasa Indonesia) - I Gede Mahendra Darmawiguna
- Bayesian Reasoning and Machine Learning - David Barber
- R Programming for Data Science - Roger D. Peng
- Think Bayes
- Applied Machine Learning in Python
- Machine Learning
- Machine Learning with Big Data
- Applied Machine Learning
- Machine Learning for Data Science and Analytics
- Machine Learning by Andrew Ng
- Intro to Machine Learning by Eric Grimson
- Machine Learning Course - CS 156
- Machine Learning from Scratch using Python
- Gaussian Mixture Models - The Math of Intelligence (Week 7)
- Local algorithms for interactive clustering
- On Perturbed Proximal Gradient Algorithms
- Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning
- Nearly optimal classification for semimetrics
- A Bayesian Framework for Learning Rule Sets for Interpretable Classification
- A Simple Approach to Predicting Customer Churn
- Complete Guide to Topic Modeling
- K-Means Clustering in Python
- How To Implement Naive Bayes From Scratch in Python
- Twitter Sentiment Analysis with NLTK
- Practical Machine Learning with Python
- Data Science From Scratch
- Introducing Data Science
- Machine Learning with R
- Practical Data Science Cookbook
- Data Science with Python (Bahasa Indonesia) - Doni Rubiagatra
- Deep Learning with PyTorch (Bahasa Indonesia) - Doni Rubiagatra
- UCI Machine Learning Repository
- Kaggle Datasets
- IMDb Datasets
- Machine Learning Datasets Repository
- Caption Contest Data
- Seminar Nasional Sistem Informasi
- International Seminar on Intelligence Technology and Its Application
- International Conference on Advanced Computer Science and Information Systems
- International Conference on Science in Information Technology
- International Conference on Soft Computing, Intelligent Systems, and Information Technology
Jika anda ingin berkontribusi dalam github ini, sangat disarankan untuk Pull Request
namun dengan resource berbahasa indonesia.