machine-learning
github.com/elizalo/machine-learning ↗Awesome list (courses, books, videos etc.) and implementation of Machine Learning Algorithms
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Constantly updated. Subscribe not to miss anything.🎓 Courses🔹 Online Courses🟥 YouTube📚 BooksConferences▶️ Websites:octocat: GitHub RepositoriesAwesome List📌 OtherBig DataNeural NetworksReinforcement LearningLinear AlgebraTheory of Probability and Mathematical StatisticsBayesian StatisticsCausal InferenceAlgorithmsMachine Learning System DesignDeploy Machine Learning Model to ProductionPython, IPython, Scikit-learn etc.Code editorsJavaScript-libraries for visualizingRLaTeX📑 Open Datasets listRedditSocial Networks (chanels, chats, groups, etc.)What's is the difference between train, validation and test set, in neural networks?
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Installation instructions →What's inside
:octocat: GitHub Repositories
📚 Books
Python, IPython, Scikit-learn etc.
📌 Other
🟥 YouTube
Conferences
- AAAI, Association for the Advancement of Artificial IntelligenceInternational
- AAMAS, International Conference on Autonomous Agents and Multi-Agent SystemsInternational
- ACL, Association for Computational LinguisticsInternational
- AI UkraineUkraine
- CVPR, IEEE Conference on Computer Vision and Pattern RecognitionInternational
- Data Science fwdaysUkraine
Causal Inference
- A Crash Course in Causality: Inferring Causal Effects from Observational Data
- Active Invariant Causal Prediction: Experiment Selection through Stability, Juan L Gamella, Christina Heinze-Deml, 2020
- awesome-causality-algorithms
- Causal Decision Trees
- Causal Inference 3: Counterfactuals
- Causal Inference in Data Science From Prediction to Causation
Showing a sample of 520 resources. View the full list on GitHub →