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?k Nearest NeighborLinear RegressionLogistic RegressionFully Connected Neural NetworksConvolutional Neural Network (CNN)Gated Recurrent Units (GRU)
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Installation instructions →What's inside
:octocat: GitHub Repositories
📚 Books
Python, IPython, Scikit-learn etc.
📌 Other
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 475 resources. View the full list on GitHub →